1,227 Reporting Engineer jobs in India

**Position:**
BI/Reporting Engineer
**Job Description:**
**What we're looking for:**
- Overall 10 years of experience in Industry including 6+Years of experience as developer using Databricks/Spark Ecosystems.
- Hands on experience on Unified Data Analytics with Databricks, Databricks Workspace User Interface, Managing Databricks Notebooks, Delta Lake with Python, Delta Lake with Spark SQL.
- Good understanding of Spark Architecture with Databricks, Structured Streaming. Setting Microsoft Azure with Databricks, Databricks Workspace for Business Analytics, Manage Clusters In Databricks, Managing the Machine Learning Lifecycle
- Hands on experience Data extraction(extract, Schemas, corrupt record handling and parallelized code), transformations and loads (user - defined functions, join optimizations) and Production (optimize and automate Extract, Transform and Load)
**TECHNICAL SKILLS**
+ Spark Data Frame API
+ Python for Data Science
+ Spark Programming
+ SQL for Data Analysis
+ Simplify Data analysis With Python
+ Manage Clusters Databricks
+ Databrick Administration
+ Data Extraction and Transformation and Load
+ Implementing Partitioning and Programming with MapReduce
+ Setting up Azure Databricks Account
+ Linux Command
**What you'll be doing:**
+ Experience in developing Spark applications using Spark-SQL in **Databricks** for data extraction, transformation, and aggregation from multiple file formats for Analyzing & transforming the data to uncover insights into the customer usage patterns.
+ Extract Transform and Load data from sources Systems to Azure Data Storage services using a combination of Azure Data factory, T-SQL, Spark SQL, and U-SQL Azure Data Lake Analytics. Data ingestion to one or more Azure **services (Azure Data Lake, Azure Storage, Azure SQL, Azure DW)** and processing the data in **Azure Databricks**
+ Develop Spark applications using pyspark and spark SQL for data extraction, transformation, and aggregation from multiple file formats for analyzing and transforming the data uncover insight into the customer usage patterns
+ Hands on experience on developing SQL Scripts for automation
+ **R** esponsible for estimating the cluster size, monitoring, and troubleshooting of the Spark databricks cluster
+ Ability to apply the spark **DataFrame API** to complete Data manipulation within spark session
+ Good understanding of Spark Architecture including spark core, **spark SQL** , DataFrame, Spark streaming, Driver Node, Worker Node, Stages, Executors and Tasks, Deployment modes, the Execution hierarchy, fault tolerance, and collection
+ Collaborate with delivery leadership to deliver projects on time adhering to the quality standards
+ Contribute to the growth of the Microsoft Azure practice by helping with solutioning for prospects
+ Problem-solving skills along with good interpersonal & communication skills
+ Self-starter who can pick up any other relevant Azure Services in the Analytics space
**Location:**
IN-KA-Bangalore, India (SKAV Seethalakshmi) GESC
**Time Type:**
Full time
**Job Category:**
Information Technology
Arrow Electronics, Inc.'s policy is to provide equal employment opportunities to all qualified employees and applicants without regard to race, color, religion, age, sex, marital status, gender identity or expression, sexual orientation, national origin, disability, citizenship, veran status, genetic information, or any other characteristics protected by applicable state, federal or local laws. Our policy of equal employment opportunity and affirmative action applies to all employment decisions personnel policies and practices, or programs.

**Position:**
BI/ Reporting Engineer II
**Job Description:**
**What You will Be Doing**
**Position Overview:**
The BI Engineer will be responsible for developing, implementing, and optimizing BI reports, dashboards, and data models to support Arrow's business insights and analytics needs. The ideal candidate will have a solid understanding of business intelligence, data analysis, and visualization principles, with good experience in working with data modeling techniques.
**Key Responsibilities:**
+ Design, develop, and maintain BI reports, dashboards and data models, to provide actionable business insights.
+ Collaborate with stakeholders to gather requirements, understand business processes, and deliver solutions that meet business needs.
+ Integrate data from various sources, including databases, spreadsheets, and cloud-based services, into cohesive BI reports.
+ Ensure data accuracy, consistency, and security across all reports and dashboards.
+ Perform data analysis to identify trends, patterns, and insights that can drive strategic business decisions.
+ Optimize BI solutions for performance and usability.
+ Develop and maintain data models to support efficient querying and reporting.
+ Provide training and support to end-users to help them effectively use BI tools and reports.
+ Stay updated with the latest BI features, best practices, and industry trends to continuously improve reporting capabilities.
**What We Are Looking For**
**Qualifications:**
+ Bachelor's degree in business, Computer Science, Information Technology, Data Analytics, or a related field.
+ 9+ years of experience in business intelligence, data analysis and reporting
+ Strong proficiency in BI tools (preferred Power BI)
+ Proficient in SQL and database management systems.
+ Understanding of digital business operations and metrics.
+ Excellent analytical and problem-solving skills.
+ Strong communication and interpersonal skills to collaborate with cross-functional teams.
+ Ability to manage multiple projects and meet deadlines in a fast-paced environment.
**Preferred Skills:**
+ Knowledge of cloud platforms such as Azure or AWS.
+ Azure Databricks familiarity or prior use
+ Experience with other data visualization tools (e.g., Tableau, Qlik - preferred Power BI).
+ Experience with extraction, transformation, and loading (ETL) of Salesforce data into BI systems
+ Familiarity with scripting languages like Python or R.
+ Understanding of machine learning and predictive analytics.
+ Domain or functional knowledge in either finance, Banking or Supply chain is must
**What's In It for You**
+ Opportunity to work with cutting-edge technologies and innovative projects.
+ Collaborative and inclusive work environment.
+ Career growth and professional development opportunities.
+ Competitive salary and benefits package.
+ Hybrid working
If you are passionate about data and have a knack for transforming complex information into actionable insights, we would love to hear from you. Join us at Arrow Digital and help us drive the future of digital business!
**About Arrow**
**Arrow Electronics, Inc. (NYSE: ARW),** an award-winning Fortune 154 and one of Fortune Magazine's Most Admired Companies. Arrow guides innovation forward for over 220,000 leading technology manufacturers and service providers. With 2024 sales of USD $27.9 billion, Arrow develops technology solutions that improve business and daily life. Our broad portfolio that spans the entire technology landscape helps customers create, make and manage forward-thinking products that make the benefits of technology accessible to as many people as possible. Learn more at .
Our strategic direction of guiding innovation forward is expressed as Five Years Out, a way of thinking about the tangible future to bridge the gap between what's possible and the practical technologies to make it happen. Learn more at .
For more job opportunities, please visit India (SKAV Seethalakshmi) GESC
**Time Type:**
Full time
**Job Category:**
Information Technology
Arrow Electronics, Inc.'s policy is to provide equal employment opportunities to all qualified employees and applicants without regard to race, color, religion, age, sex, marital status, gender identity or expression, sexual orientation, national origin, disability, citizenship, veran status, genetic information, or any other characteristics protected by applicable state, federal or local laws. Our policy of equal employment opportunity and affirmative action applies to all employment decisions personnel policies and practices, or programs.

Join Amgen's Mission of Serving Patients
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
**What you will do**
Let's do this. Let's change the world. In this vital role you will be responsible to design, develop, and optimize data pipelines, data integration frameworks, and metadata-driven architectures that enable seamless data access and analytics. This role prefers deep expertise in big data processing, distributed computing, data modeling, and governance frameworks to support self-service analytics, AI-driven insights, and enterprise-wide data management.
+ Design, develop, and maintain complex ETL/ELT data pipelines in Databricks using PySpark, Scala, and SQL to process large-scale datasets
+ Understand the biotech/pharma or related domains & build highly efficient data pipelines to migrate and deploy complex data across systems
+ Design and Implement solutions to enable unified data access, governance, and interoperability across hybrid cloud environments
+ Ingest and transform structured and unstructured data from databases (PostgreSQL, MySQL, SQL Server, MongoDB etc.), APIs, logs, event streams, images, pdf, and third-party platforms
+ Ensuring data integrity, accuracy, and consistency through rigorous quality checks and monitoring
+ Expert in data quality, data validation and verification frameworks
+ Innovate, explore and implement new tools and technologies to enhance efficient data processing
+ Proactively identify and implement opportunities to automate tasks and develop reusable frameworks
+ Work in an Agile and Scaled Agile (SAFe) environment, collaborating with cross-functional teams, product owners, and Scrum Masters to deliver incremental value
+ Use JIRA, Confluence, and Agile DevOps tools to manage sprints, backlogs, and user stories
+ Support continuous improvement, test automation, and DevOps practices in the data engineering lifecycle
+ Collaborate and communicate effectively with the product teams, with cross-functional teams to understand business requirements and translate them into technical solutions
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients. We are looking for highly motivated expert Data Engineer who can own the design & development of complex data pipelines, solutions and frameworks.
**Basic Qualifications:**
+ Master's degree and 1 to 3 years of Computer Science, IT or related field experience OR
+ Bachelor's degree and 3 to 5 years of Computer Science, IT or related field experience OR
+ Diploma and 7 to 9 years of Computer Science, IT or related field experience
+ Hands-on experience in data engineering technologies such as Databricks, PySpark, SparkSQL Apache Spark, AWS, Python, SQL, and Scaled Agile methodologies
+ Proficiency in workflow orchestration, performance tuning on big data processing
+ Strong understanding of AWS services
+ Ability to quickly learn, adapt and apply new technologies
+ Strong problem-solving and analytical skills
+ Excellent communication and teamwork skills
+ Experience with Scaled Agile Framework (SAFe), Agile delivery practices, and DevOps practices
**Preferred Qualifications:**
+ AWS Certified Data Engineer preferred
+ Databricks Certificate preferred
+ Scaled Agile SAFe certification preferred
+ Data Engineering experience in Biotechnology or pharma industry
+ Experience in writing APIs to make the data available to the consumers
+ Experienced with SQL/NOSQL database, vector database for large language models
+ Experienced with data modeling and performance tuning for both OLAP and OLTP databases
+ Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and DevOps
**Soft Skills:**
+ Excellent analytical and troubleshooting skills.
+ Strong verbal and written communication skills
+ Ability to work effectively with global, virtual teams
+ High degree of initiative and self-motivation.
+ Ability to manage multiple priorities successfully.
+ Team-oriented, with a focus on achieving team goals.
+ Ability to learn quickly, be organized and detail oriented.
+ Strong presentation and public speaking skills.
**What you can expect of us**
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
**Apply now and make a lasting impact with the Amgen team.**
**careers.amgen.com**
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start **Caring. Connecting. Growing together.**
The Data Engineering Analyst, using technical and analytical skills, is responsible for supporting members on, not limiting to, ongoing data refreshes, support requests, troubleshooting and implementations - which are delivered on time and with utmost quality. Data Analysts must have ownership of complete analysis and implementation of an issue to its final solution, including creative problem solving and technical decision making.
**Primary Responsibilities:**
+ Implementation
+ Completing file mapping based on layouts and requirements provided by Business Analysts/Project Managers; Writing business logic (in SQL or other languages as appropriate to the particular business intelligence technology) for transforming data into product specifications; running and interpreting quality checks against loaded data; spinning up the product front-end; completing quality testing and articulating potential issues back to the BA/PM
+ Production:
+ End-to-end management of the ongoing data load process, including monitoring of feeds and outreach when data is delayed; creating customized reports based on specifications provided by Business Analysts; Completing configuration, mapping, or logic changes as described and prioritized by BAs; Troubleshooting issues raised by BAs from root cause identification to resolution
+ In all phases of the client life cycle, the Data Engineering Analyst is responsible for writing complex SQL queries to complete business requirements. He/she must have the ability to analyze and understand data to support decision making. He/she is also responsible for working on projects focused on continuous improvement to improve team's effectiveness
+ Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
**Required Qualifications:**
+ Graduate degree or equivalent experience
+ Bachelor's degree in Computer Science or any engineering
+ 2+ years of experience working with ETL & Data warehousing services
+ Experience with or an interest in learning to work with complex health care databases
+ Solid analytical and problem solving skills
+ Passion to work with lot of data in a challenging environment
+ Technical aptitude for learning new technologies
+ Intermediate to expert knowledge on Azure, Databricks, Scala, Spark SQL, Python(good to have)
+ Knowledge on Relational Databases like Oracle, SQL Server, MYSQL
+ Knowledge on SQL and procedural scripting
+ Ability to contribute to technical documentation of specifications and processes
+ Ability to participate in the ongoing invention, testing and use of tools used by the team to improve processes and bring scale
+ Intermediate skills using Microsoft Excel and Microsoft word
**Preferred Qualifications:**
+ Ability to query large data sets using SQL and query optimization skills.
+ Working knowledge of health information systems
+ Clinical or medical data analysis highly preferred
+ Understanding of clinical processes and vocabulary
**Soft Skills:**
+ Highly analytical, curious and creative
+ Solid organization skills, very detail oriented, with careful attention to work processes
+ Takes ownership of responsibilities and follows through hand-offs to other groups
+ Competence with PCs and Windows Office applications
+ Enjoys a fast paced environment and the opportunity to quickly learn new skills
+ Ability to work creatively and flexibly, both independently and as part of a team
+ Good written and oral communications skills
+ Ability to analyze user requests, define requirements, investigate and report conclusions
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._

Data EngineerPune, IndiaJR
**Data Engineer**
At Ensono, our Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things! We enable our clients to achieve key business outcomes that reshape how our world runs. As an expert technology adviser and managed service provider with cross-platform certifications, Ensono empowers our clients to keep up with continuous change and embrace innovation.
We can Do Great Things because we have great Associates. The Ensono Core Values unify our diverse talents and are woven into how we do business. These five traits are the key to achieving our purpose.
HONESTY, RELIABILITY, COLLABORATION, CURIOSITY, PASSION
At Ensono, we are evolving into a **software-first Managed Services Provider** -a place where **AI, automation, and human expertise work together** to deliver **10x productivity** for our clients. Our **Envision Operating System** is the backbone of this transformation, orchestrating operations across mainframe, distributed, and cloud environments.
The **Data Engineer** plays a pivotal role in this vision. You won't just be moving data from point A to point B-you'll be **designing the pipelines and platforms that power predictive services, anomaly detection, and intelligent automation** . From ServiceNow tickets to mainframe telemetry, you'll turn raw, messy signals into **high-quality, AI/ML-ready datasets** that fuel real-time insights and proactive operations.
This is not a back-office role-it's a **frontline enabler of transformation** . The work you do directly impacts uptime, cost optimization, and the ability for Ensono to move from manual, reactive support to a **zero-touch, predictive model** .
We are looking for engineers who don't just architect pipelines but **get stuff done** -builders who can deliver working solutions, iterate quickly, and collaborate with data scientists, ML engineers, and ops teams to make sure models don't just run in notebooks but actually change how work gets done.
If you want to be part of the team that's **rewiring managed services for the AI era** , this is your role.
**What You Will Do:**
+ **Data Pipeline Development** - Build, optimize, and maintain ELT/ETL pipelines that move, clean, and organize data from ServiceNow, mainframe, distributed, and cloud systems.
+ **Integration with ServiceNow** - Develop robust data extraction, transformation, and ingestion patterns tailored for operational data (incidents, alerts, changes, requests) to make it AI/ML-ready.
+ **Data Infrastructure & Architecture** - Design scalable data models, storage frameworks, and integration layers in Snowflake and other modern platforms.
+ **Data Quality & Governance** - Implement standards, monitoring, and validation frameworks to ensure clean, trustworthy data across all pipelines.
+ **Collaboration with AI/ML Teams** - Partner with Data Scientists, ML Engineers, and MLOps to deliver production-grade datasets powering predictive models, anomaly detection, and intelligent runbooks.
+ **Automation & Optimization** - Identify opportunities to streamline data workflows, reduce manual intervention, and lower costs while improving reliability.
+ **Cross-functional Enablement** - Work with Finance, Procurement, Cloud Ops, Mainframe Ops, and Service Operations teams to ensure data is aligned to high-value business outcomes.
**We want all new Associates to succeed in their roles at Ensono. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Required Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply.**   
**Required Skills & Experience**
+ **Strong SQL & Data Modeling** skills.
+ Expertise in **ELT/ETL pipeline development** and orchestration.
+ **Python** (must-have) plus at least one of Java, Scala, or C++.
+ Hands-on experience with **Snowflake** or equivalent cloud data warehouse platforms.
+ Proven experience **extracting, transforming, and operationalizing data from ServiceNow and common monitoring platforms / other enterprise systems (Workday, Concur, etc)** .
+ Familiarity with observability tooling and distributed data systems.
+ Knowledge of enterprise data governance, compliance, and lineage.
+ 4+ years of experience preferred.
+ Bonus: experience working directly with AI/ML feature pipelines.
**Mindset & Values**
+ **Get Stuff Done** - You're biased toward execution and results, not endless design cycles.
+ **Business Impact Driven** - You build pipelines that _move the needle_ on uptime, cost reduction, and predictive operations.
+ **Collaborative Partner** - You thrive in a cross-functional environment, sitting at the intersection of Ops, AI/ML, and business stakeholders.
+ **Continuous Learner** - Always looking for ways to apply new tools and technologies to accelerate delivery.
**Success Looks Like**
+ Reliable pipelines that pull ServiceNow data into Snowflake for **real-time incident prediction** .
+ Faster transition of AI/ML proof of concepts into production pipelines.
+ Demonstrated cost savings through **automated workload optimization** and **capacity forecasting** .
+ Enabling predictive services to scale seamlessly across mainframe, distributed, and cloud environments.
**Why Ensono?**
Ensono is a place where we unleash Associates to Do Great Things - for our clients and for your career. This could mean achieving a professional goal, collaborating with your team on an innovative idea, learning a new skill, reaching a wellness milestone, or engaging in your community through volunteer programs. Whatever it means to you, we want Ensono to be the place where you can do great things.
We value flexibility and work-life balance. Positions that are not required to be onsite to support a client may offer the ability to work remotely or hybrid at an Ensono office location.
JR

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start **Caring. Connecting. Growing together.**
**Primary Responsibilities:**
+ In this role, the resource will "own" data source maintenance & monitoring and improvement projects from the data analytics perspective, including:
+ Bachelor's degree, or work equivalent, in health sciences, health information systems, computer science, mathematics, engineering or related field
+ Conduct gap analysis to compare the client's data structure and content to that of the standard expected for that EMR, billing, or adjudicated claims data source
+ Look through the client's data to locate data elements of interest to our application. Complex cases involve reconciliation of data in multiple locations, clever ways of imputing information from sub-par data, and de-duplication strategies
+ Work closely with engineering and operations teams as the project is implemented, to answer questions and resolve data issues that arise
+ Contribute to technical documentation of specifications and processes
+ Participate in the ongoing invention, testing and use of tools used by the team to improve processes and bring scale
+ Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
**Required Qualifications:**
+ 3+ years of experience working with data, analyzing data and understanding data
+ 3+ years of experience working with SQL (SQL Server or Oracle)
+ 3+ years of experience working with Scripting (Python or PowerShell, Batch scripting)
+ Best to know Cloud (AWS or Azure) & PowerBI
+ Understanding of relational data bases and their principles of operation
+ Intermediate skills using Microsoft Excel
+ Proven good communication skill for client facing calls or emails
**Preferred Qualification:**
+ Added advantage knowing UNIX, any ETL tool
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._

By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice ( and Terms of Use ( . I further attest that all information I submit in my employment application is true to the best of my knowledge.
**Job Description**
**The Future Begins Here**
At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-ready capabilities, we are meeting the need of patients, our people, and the planet.
Bangalore, the city, which is India's epicenter of Innovation, has been selected to be home to Takeda's recently launched Innovation Capability Center. We invite you to join our digital transformation journey. In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement.
**At Takeda's ICC we Unite in Diversity**
Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team.
**Job Summary:**
As a Data Engineer, you will be building and maintaining data systems and construct datasets that are easy to analyze and support Business Intelligence requirements as well as downstream systems.
+ Develops and maintains scalable data pipelines and builds out new integrations using AWS native technologies to support continuing increases in data source, volume, and complexity.
+ Collaborates with analytics and business teams to improve data models that feed business intelligence tools and dashboards, increasing data accessibility and fostering data-driven decision making across the organization.
+ Implements processes and systems to drive data reconciliation, monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes that depend on it.
+ Writes unit/integration/performance test scripts, contributes to engineering wiki, and documents work.
+ Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
+ Works closely with a team of frontend and backend engineers, product managers, and analysts.
+ Works with DevOps and Cloud Center of Excellence to deploy data pipeline solutions in Takeda AWS environments meeting security and performance requirements.
**Skills and Qualifications**
+ Bachelors' Degree, from an accredited institution in Engineering, Computer Science, or related field.
+ 3+ years of experience in software, data, data warehouse, data lake, and analytics reporting development.
+ Strong experience in data/Big Data, data integration, data model, modern database (Graph, SQL, No-SQL, etc.) query languages and AWS cloud technologies including DMS, Lambda, Databricks, SQS, Step Functions, Data Streaming, Visualization, etc.
+ Solid experience in DBA, dimensional modeling, SQL optimization - Aurora is preferred.
+ Experience designing, building, maintaining data integrations using SOAP/REST web services/API, as well as schema design and dimensional data modeling.
+ Excellent written and verbal communication skills including the
**What Takeda Can Offer You**
+ Takeda is certified as a Top Employer, not only in India, but also globally. No investment we make pays greater dividends than taking good care of our people.
+ At Takeda, you take the lead on building and shaping your own career.
+ Joining the ICC in Bangalore will give you access to high-end technology, continuous training and a diverse and inclusive network of colleagues who will support your career growth.
**Benefits**
It is our priority to provide competitive compensation and a benefit package that bridges your personal life with your professional career. Amongst our benefits are:
Competitive Salary + Performance Annual Bonus
+ Flexible work environment, including hybrid working
+ Comprehensive Healthcare Insurance Plans for self, spouse, and children
+ Group Term Life Insurance and Group Accident Insurance programs
+ Health & Wellness programs including annual health screening, weekly health sessions for employees.
+ Employee Assistance Program
+ Broad Variety of learning platforms
+ Diversity, Equity, and Inclusion Programs
+ No Meeting Days
+ Reimbursements - Home Internet & Mobile Phone
+ Employee Referral Program
+ Leaves - Paternity Leave (4 Weeks) , Maternity Leave (up to 26 weeks), Bereavement Leave (5 days)
**About ICC in Takeda**
+ Takeda is leading a digital revolution. We're not just transforming our company; we're improving the lives of millions of patients who rely on our medicines every day.
+ As an organization, we are committed to our cloud-driven business transformation and believe the ICCs are the catalysts of change for our global organization.
#Li-Hybrid
**Locations**
IND - Bengaluru
**Worker Type**
Employee
**Worker Sub-Type**
Regular
**Time Type**
Full time

**The Role**
The Data Engineer is accountable for developing high quality data products to support the Bank's regulatory requirements and data driven decision making. A Data Engineer will serve as an example to other team members, work closely with customers, and remove or escalate roadblocks. By applying their knowledge of data architecture standards, data warehousing, data structures, and business intelligence they will contribute to business outcomes on an agile team.
**Responsibilities**
+ Developing and supporting scalable, extensible, and highly available data solutions
+ Deliver on critical business priorities while ensuring alignment with the wider architectural vision
+ Identify and help address potential risks in the data supply chain
+ Follow and contribute to technical standards
+ Design and develop analytical data models
**Required Qualifications & Work Experience**
+ First Class Degree in Engineering/Technology (4-year graduate course)
+ 3 to 4 years' experience implementing data-intensive solutions using agile methodologies
+ Experience of relational databases and using SQL for data querying, transformation and manipulation
+ Experience of modelling data for analytical consumers
+ Ability to automate and streamline the build, test and deployment of data pipelines
+ Experience in cloud native technologies and patterns
+ A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training
+ Excellent communication and problem-solving skills
**T** **echnical Skills (Must Have)**
+ **ETL:** Hands on experience of building data pipelines. Proficiency in at least one of the data integration platforms such as Ab Initio, Apache Spark, Talend and Informatica
+ **Big Data** :Exposure to 'big data' platforms such as Hadoop, Hive or Snowflake for data storage and processing
+ **Data Warehousing & Database Management** : Understanding of Data Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB, DynamoDB) database design
+ **Data Modeling & Design** : Good exposure to data modeling techniques; design, optimization and maintenance of data models and data structures
+ **Languages** : Proficient in one or more programming languages commonly used in data engineering such as Python, Java or Scala
+ **DevOps** : Exposure to concepts and enablers - CI/CD platforms, version control, automated quality control management
**Technical Skills (Valuable)**
+ **Ab Initio** : Experience developing Co>Op graphs; ability to tune for performance. Demonstrable knowledge across full suite of Ab Initio toolsets e.g., GDE, Express>IT, Data Profiler and Conduct>IT, Control>Center, Continuous>Flows
+ **Cloud** : Good exposure to public cloud data platforms such as S3, Snowflake, Redshift, Databricks, BigQuery, etc. Demonstratable understanding of underlying architectures and trade-offs
+ **Data Quality & Controls** : Exposure to data validation, cleansing, enrichment and data controls
+ **Containerization** : Fair understanding of containerization platforms like Docker, Kubernetes
+ **File Formats** : Exposure in working on Event/File/Table Formats such as Avro, Parquet, Protobuf, Iceberg, Delta
+ **Others** : Basics of Job scheduler like Autosys. Basics of Entitlement management
Certification on any of the above topics would be an advantage.
---
**Job Family Group:**
Technology
---
**Job Family:**
Digital Software Engineering
---
**Time Type:**
---
**Most Relevant Skills**
Please see the requirements listed above.
---
**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
---
_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

**Data Engineer**
**What you will do**
Let's do this. Let's change the world. In this vital role as Data Engineer at Amgen you will be responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and executing data initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes
+ Design, develop, and optimize data pipelines/workflows using Databricks (Spark, Delta Lake) for ingestion, transformation, and processing of large-scale data. A knowledge of Medallion Architecture will be an added advantage.
+ Build ETL pipeline with Informatica or other ETL tools.
+ Support data governance and metadata management.
+ Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions
+ Identify and resolve complex data-related challenges
+ Adhere to best practices for coding, testing, and designing reusable code/component
+ Analyze business and technical requirements and begin translating them into simple development tasks
+ Execute unit and integration tests, and contribute to maintaining software quality
+ Identify and fix bugs and defects during development or testing phases
+ Contribute to the maintenance and support of applications by monitoring performance and reporting issues
+ Use CI/CD pipelines as part of DevOps practices and assist in the release process
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients.
**Basic Qualifications:**
+ Master's/Bachelor's degree and 4 to 8 years of Computer Science, IT or related field experience
**Preferred Qualifications:**
+ Experience with Software engineering best-practices, including but not limited to version control, infrastructure-as-code, CI/CD, and automated testing
+ Knowledge of Python/R, Databricks, cloud data platforms
+ Strong understanding of data governance frameworks, tools, and best practices.
+ Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA)
**Must-Have Skills:**
+ Bachelor's or master's degree in computer science, Data Science, or a related field.
+ Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), python for workflow orchestration, performance tuning on big data processing
+ Proficiency in data analysis tools (eg. SQL)
+ Proficient in SQL for extracting, transforming, and analyzing complex datasets from relational data stores
+ Strong programming skills in Python, PySpark, and SQL.
+ Familiarity with Informatica and/or other ETL tools.
+ Experience working with cloud data services (Azure, AWS, or GCP).
+ Strong understanding of data modeling, entity relationships
**Professional Certifications**
+ AWS Certified Data Engineer (preferred)
+ Databricks Certificate (preferred)
**Soft Skills:**
+ Excellent problem-solving and analytical skills
+ Strong communication and interpersonal abilities
+ High attention to detail and commitment to quality
+ Ability to prioritize tasks and work under pressure
+ Team-oriented with a proactive and collaborative mindset
+ Willingness to mentor junior developers and promote best practices
+ Adaptable to changing project requirements and evolving technology