4,423 Data Professional jobs in India

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 creating a future-ready organization that uses data and digital to meet the needs of patients, our people, and the planet. We need your help to make this happen. Join our Innovation Capability Center (ICC) in Bangalore, India.
**Our team is growing and for this we need bright minds with creativity and flexibility - what talent do you have?**
**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. 
**The Opportunity**
As an IT/OT Data Modeler/Architect, you will be a key player transforming the way various teams work with data across all production sites of the Global Manufacturing and Supply Organization (GMS).
With this you will help to improve our product quality and reduce loss while increasing efficiency, which has a direct impact on our ability to serve our patients with vital products.
**Responsibilities**
+ Develop and maintain scalable and contextualized IT/OT data models (Asset, Process, Procedural)
+ Ensure alignment with known industry standards, such as ISA-88 & ISA-95
+ Contribute to a scaleable IT/OT architecture and integration standards for the various shopfloor systems of Takeda Manufacturing sites, such as Automation Systems, Historian solutions, MES, Manufacturing Intelligence, etc.
+ Enable shop-floor data analytics (process trending, process modelling, real-time analytics, and predictive analytics) in a GxP environment from an IT perspective for all GMS sites
+ Drive identification of technical issues, problem-solving and escalating issues appropriately.
+ Follow company and departmental policies, procedures and ensure documentation according to the Takeda Quality Management Systems (QMS), Software Development Life Cycle and Project Life Cycle standards.
+ Collaborate with analytics and business teams to improve data models that enhance business intelligence tools and dashboards, fostering data-driven decision-making across the organization.
**Skills and Qualifications**
+ Bachelor's Degree in Computer Science or in a Technical/Natural Science (with focus on IT and/or Auomtation) or equivalent,
+ In-Depth knowledgeIT/OT systems in manufacturing environments,especially Historian systems
+ Capable of understanding and modelling complex data flows exchanged between IT systems
+ Good knowledge of ISA-88 and ISA-95 standards
+ Basic understanding of batch-based manufacturing processes,
+ Understanding of Agile/SCRUM methodologies,
+ Understanding ofgood engineering practices (DevSecOps, source-code versioning),
+ Excellent written and verbal communication skills, with the ability to collaborate effectively with cross-functional teams,
+ Fluency in English.
**Nice to Have**
+ 3+ (preferably 5+) years of experience in data engineering, or a related field,
+ Experience with one or more of the following IT/OT systems (Aveva PI, AspentechInmation, Körber PAS-X, PCS7, Delta V)
+ Understanding of cloud technologies and modern database technologies/data lakes
+ Experience with AWS (S3, EC2, Terraform),
+ Experience in Computer Systems Validation GAMP,
+ Experienced working in regulated industries, especially the pharmaceutical industry.
**Locations**
IND - Bengaluru
**Worker Type**
Employee
**Worker Sub-Type**
Regular
**Time Type**
Full time

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**
**Senior Data Engineer**
**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.
Mexico City has been selected to be home to Takeda's recently launched Innovation Capability Center thanks to its international recognition in qualified and experienced talent in the data, digital and technology fields. 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.
**The Opportunity**  
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. 
**Responsibilities**  
+ 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 closely with enterprise teams including Enterprise Architecture, Security, and Enterprise Data Backbone Engineering to design and develop data integration patterns/solutions along with proper data models supporting different data and analytics use cases. 
+ 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. 
+ 5+ 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 ability to interact effectively with multifunctional teams. 
**Locations**
IND - Bengaluru
**Worker Type**
Employee
**Worker Sub-Type**
Regular
**Time Type**
Full time

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.
Bengaluru, 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.
**THE OPPORTUNITY:**
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.
**Responsibilities:**
+ 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.
+ Build and fine-tune GenAI-powered solutions using LLMs
+ Develop retrieval-augmented generation (RAG) pipelines integrating vector stores
+ 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 ability to interact effectively with multifunctional teams.
**WHAT TAKEDA ICC INDIA 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 Bengaluru 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
+ Employee Assistance Program
+ Broad Variety of learning platforms
+ Diversity, Equity, and Inclusion Programs
+ 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

         Title:  Architect – Data engineering & Analytics           Location:  NoidaAnalyzing, Designing, and implementing technical data engineering solutions to match banking customer's needs.Understand customer requirements, turning business use cases and requirements into technical solutions and Architect solutions for data and analytics needs of customers.Effort estimates for the proposed solution. Articulating the benefits of proposed solution to customers.Conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows.Exposing data to end-users via Power BI, Azure API Apps.Actively engage with sales regions / sales personnel for business development.Building the collateral repository and needed accelerators to position the competency to prospects and clients.Being harbinger of the technology in data engineering and analytics and enhance the portfolio accordingly.Groom additional members towards building a larger presales and solution team in the data & analytics domain.  Requirements  8-15 Years of overall experience in the IT industry specifically doing Data engineering and Analytics activities.  MCA / bachelor’s degree in engineering or mathematics  Minimum of 2 Certifications in Data engineering and Analytics for AWS or Azure for example - AWS certified data analytics, Microsoft        Certified: Azure Data Scientist Associate etc.   Experience with different database technologies (e.g., SQL database(s), NoSQL such as Hadoop, MongoDB, Redis, etc.  Experience in Data modelling capability for banking use cases for Demand, Supply or Risk both statistical as well as Machine Learning        Based.  Must have excellent communication skills (verbal and written) and experience in pre-sales demonstrations and solution presentations.  Experience with SQL, PL-SQL and preparing data for Data Science and Machine Learning purposes.   Experience with agile delivery methodologies, proof of concepts and prototyping.  Knowledge of Data Integration and Management Tools like Informatica, Snowflake, Abinitio etc.  Knowledge of Azure Data & Analytics PaaS Services: Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, Azure Databricks,        Azure Spark and Azure SQL DB.BenefitsNucleus is well known for identifying, nurturing, and promoting the internal talent and having long mutually rewarding associations with its performing associates. Our focus programs help our associates to continuously grow based on their capability, performance, and career aspirations.

Responsibilities:

• Work with stakeholders to understand the data requirements to design, develop, and maintain complex ETL processes.
• Create the data integration and data diagram documentation.
• Lead the data validation, UAT and regression test for new data asset creation.
• Create and maintain data models, including schema design and optimization.
• Create and manage data pipelines that automate the flow of data, ensuring data quality and consistency.

Qualifications and Skills:

• Strong knowledge on Python and Pyspark
• Expectation is to have ability to write Pyspark scripts for developing data workflows.
• Strong knowledge on SQL, Hadoop, Hive, Azure, Databricks and Greenplum
• Expectation is to write SQL to query metadata and tables from different data management system such as, Oracle, Hive, Databricks and Greenplum.
• Familiarity with big data technologies like Hadoop, Spark, and distributed computing frameworks.
• Expectation is to use Hue and run Hive SQL queries, schedule Apache Oozie jobs to automate the data workflows.
• Good working experience of communicating with the stakeholders and collaborate effectively with the business team for data testing.
• Expectation is to have strong problem-solving and troubleshooting skills.
• Expectation is to establish comprehensive data quality test cases, procedures and implement automated data validation processes.
• Degree in Data Science, Statistics, Computer Science or other related fields or an equivalent combination of education and experience.
• 3-7 years of experience in Data Engineer.
• Proficiency in programming languages commonly used in data engineering, such as Python, Pyspark, SQL.
• Experience in Azure cloud computing platform, such as developing ETL processes using Azure Data Factory, big data processing and analytics with Azure Databricks.
• Strong communication, problem solving and analytical skills with the ability to do time management and multi-tasking with attention to detail and accuracy.

Responsibilities:
Work with stakeholders to understand the data requirements to design, develop, and maintain complex ETL processes.
Create the data integration and data diagram documentation.
Lead the data validation, UAT and regression test for new data asset creation.
Create and maintain data models, including schema design and optimization.
Create and manage data pipelines that automate the flow of data, ensuring data quality and consistency.
Qualifications and Skills:
Strong knowledge on Python and Pyspark
Expectation is to have ability to write Pyspark scripts for developing data workflows.
Strong knowledge on SQL, Hadoop, Hive, Azure, Databricks and Greenplum
Expectation is to write SQL to query metadata and tables from different data management system such as, Oracle, Hive, Databricks and Greenplum.
Familiarity with big data technologies like Hadoop, Spark, and distributed computing frameworks.
Expectation is to use Hue and run Hive SQL queries, schedule Apache Oozie jobs to automate the data workflows.
Good working experience of communicating with the stakeholders and collaborate effectively with the business team for data testing.
Expectation is to have strong problem-solving and troubleshooting skills.
Expectation is to establish comprehensive data quality test cases, procedures and implement automated data validation processes.
Degree in Data Science, Statistics, Computer Science or other related fields or an equivalent combination of education and experience.
3-7 years of experience in Data Engineer.
Proficiency in programming languages commonly used in data engineering, such as Python, Pyspark, SQL.
Experience in Azure cloud computing platform, such as developing ETL processes using Azure Data Factory, big data processing and analytics with Azure Databricks.
Strong communication, problem solving and analytical skills with the ability to do time management and multi-tasking with attention to detail and accuracy.