5,179 Data Projects jobs in India
Insurance domain BA with Data projects experience
Posted 12 days ago
Job Viewed
Job Description
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Insurance domain BA with Data projects experience to join our team in Bangalore, Karnātaka (IN-KA), India (IN).
**Overview:**
We are seeking an experienced Insurance Domain Expert to lead data migration projects within our organization. The ideal candidate will have a deep understanding of the insurance industry, data management principles, and hands-on experience in executing successful data migration initiatives.
**Key Responsibilities:**
1. Industry Expertise:
- Provide insights into best practices within the insurance domain to ensure compliance and enhance data quality.
- Stay updated on regulatory changes affecting the insurance industry that may impact data processing and migration.
2. Data Migration Leadership:
- Plan, design, and implement comprehensive data migration strategies to facilitate smooth transitions between systems.
- Oversee the entire data migration process, including data extraction, cleaning, transformation, and loading (ETL / ELT).
3. Collaboration and Communication:
- Liaise between technical teams and business stakeholders to ensure alignment of migration objectives with business goals.
- Prepare and present progress reports and analytical findings to management and cross-functional teams.
4. Risk Management:
- Identify potential data migration risks and develop mitigation strategies.
- Conduct thorough testing and validation of migrated data to ensure accuracy and integrity.
5. Training and Support:
- Train team members and clients on new systems and data handling processes post-migration.
- Provide ongoing support and troubleshooting for data-related issues.
**Qualifications:**
- Bachelor's degree in information technology, Computer Science, or a related field; advanced degree preferred.
- Minimum of 5-10 years of experience in the insurance domain with a focus on data migration projects.
- Strong knowledge of insurance products, underwriting, claims, and regulatory requirements.
- Proficient in data migration tools and techniques, with experience in ETL processes.
- Excellent analytical and problem-solving skills with a keen attention to detail.
- Strong communication and presentation skills to interact with various stakeholders.
**Minimum Skills Required: Overview:**
We are seeking an experienced Insurance Domain Expert to lead data migration projects within our organization. The ideal candidate will have a deep understanding of the insurance industry, data management principles, and hands-on experience in executing successful data migration initiatives.
**Key Responsibilities:**
1. Industry Expertise:
- Provide insights into best practices within the insurance domain to ensure compliance and enhance data quality.
- Stay updated on regulatory changes affecting the insurance industry that may impact data processing and migration.
2. Data Migration Leadership:
- Plan, design, and implement comprehensive data migration strategies to facilitate smooth transitions between systems.
- Oversee the entire data migration process, including data extraction, cleaning, transformation, and loading (ETL / ELT).
3. Collaboration and Communication:
- Liaise between technical teams and business stakeholders to ensure alignment of migration objectives with business goals.
- Prepare and present progress reports and analytical findings to management and cross-functional teams.
4. Risk Management:
- Identify potential data migration risks and develop mitigation strategies.
- Conduct thorough testing and validation of migrated data to ensure accuracy and integrity.
5. Training and Support:
- Train team members and clients on new systems and data handling processes post-migration.
- Provide ongoing support and troubleshooting for data-related issues.
**Qualifications:**
- Bachelor's degree in information technology, Computer Science, or a related field; advanced degree preferred.
- Minimum of 5-10 years of experience in the insurance domain with a focus on data migration projects.
+ Strong knowledge of insurance products, underwriting, claims, and regulatory requir
#LI-NorthAmerica
**About NTT DATA**
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com ( DATA endeavors to make_** **_ **_accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at_** **_ **_._** **_This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here ( . If you'd like more information on your EEO rights under the law, please click here ( . For Pay Transparency information, please click here ( ._**
Insurance domain BA with Data projects experience
Posted 12 days ago
Job Viewed
Job Description
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Insurance domain BA with Data projects experience to join our team in Bangalore, Karnātaka (IN-KA), India (IN).
**Overview:**
We are seeking an experienced Insurance Domain Expert to lead data migration projects within our organization. The ideal candidate will have a deep understanding of the insurance industry, data management principles, and hands-on experience in executing successful data migration initiatives.
**Key Responsibilities:**
1. Industry Expertise:
- Provide insights into best practices within the insurance domain to ensure compliance and enhance data quality.
- Stay updated on regulatory changes affecting the insurance industry that may impact data processing and migration.
2. Data Migration Leadership:
- Plan, design, and implement comprehensive data migration strategies to facilitate smooth transitions between systems.
- Oversee the entire data migration process, including data extraction, cleaning, transformation, and loading (ETL / ELT).
3. Collaboration and Communication:
- Liaise between technical teams and business stakeholders to ensure alignment of migration objectives with business goals.
- Prepare and present progress reports and analytical findings to management and cross-functional teams.
4. Risk Management:
- Identify potential data migration risks and develop mitigation strategies.
- Conduct thorough testing and validation of migrated data to ensure accuracy and integrity.
5. Training and Support:
- Train team members and clients on new systems and data handling processes post-migration.
- Provide ongoing support and troubleshooting for data-related issues.
**Qualifications:**
- Bachelor's degree in information technology, Computer Science, or a related field; advanced degree preferred.
- Minimum of 5-10 years of experience in the insurance domain with a focus on data migration projects.
- Strong knowledge of insurance products, underwriting, claims, and regulatory requirements.
- Proficient in data migration tools and techniques, with experience in ETL processes.
- Excellent analytical and problem-solving skills with a keen attention to detail.
- Strong communication and presentation skills to interact with various stakeholders.
**Minimum Skills Required: Overview:**
We are seeking an experienced Insurance Domain Expert to lead data migration projects within our organization. The ideal candidate will have a deep understanding of the insurance industry, data management principles, and hands-on experience in executing successful data migration initiatives.
**Key Responsibilities:**
1. Industry Expertise:
- Provide insights into best practices within the insurance domain to ensure compliance and enhance data quality.
- Stay updated on regulatory changes affecting the insurance industry that may impact data processing and migration.
2. Data Migration Leadership:
- Plan, design, and implement comprehensive data migration strategies to facilitate smooth transitions between systems.
- Oversee the entire data migration process, including data extraction, cleaning, transformation, and loading (ETL / ELT).
3. Collaboration and Communication:
- Liaise between technical teams and business stakeholders to ensure alignment of migration objectives with business goals.
- Prepare and present progress reports and analytical findings to management and cross-functional teams.
4. Risk Management:
- Identify potential data migration risks and develop mitigation strategies.
- Conduct thorough testing and validation of migrated data to ensure accuracy and integrity.
5. Training and Support:
- Train team members and clients on new systems and data handling processes post-migration.
- Provide ongoing support and troubleshooting for data-related issues.
**Qualifications:**
- Bachelor's degree in information technology, Computer Science, or a related field; advanced degree preferred.
- Minimum of 5-10 years of experience in the insurance domain with a focus on data migration projects.
+ Strong knowledge of insurance products, underwriting, claims, and regulatory requir
#LI-NorthAmerica
**About NTT DATA**
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com ( DATA endeavors to make_** **_ **_accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at_** **_ **_._** **_This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here ( . If you'd like more information on your EEO rights under the law, please click here ( . For Pay Transparency information, please click here ( ._**
Insurance domain BA with Data projects experience
Posted today
Job Viewed
Job Description
Req ID:
We are currently seeking a Insurance domain BA with Data projects experience to join our team in Bangalore, Karnātaka (IN-KA), India (IN).
Overview:
We are seeking an experienced Insurance Domain Expert to lead data migration projects within our organization. The ideal candidate will have a deep understanding of the insurance industry, data management principles, and hands-on experience in executing successful data migration initiatives.
Key Responsibilities:
1. Industry Expertise:
- Provide insights into best practices within the insurance domain to ensure compliance and enhance data quality.
- Stay updated on regulatory changes affecting the insurance industry that may impact data processing and migration.
2. Data Migration Leadership:
- Plan, design, and implement comprehensive data migration strategies to facilitate smooth transitions between systems.
- Oversee the entire data migration process, including data extraction, cleaning, transformation, and loading (ETL / ELT).
3. Collaboration and Communication:
- Liaise between technical teams and business stakeholders to ensure alignment of migration objectives with business goals.
- Prepare and present progress reports and analytical findings to management and cross-functional teams.
4. Risk Management:
- Identify potential data migration risks and develop mitigation strategies.
- Conduct thorough testing and validation of migrated data to ensure accuracy and integrity.
5. Training and Support:
- Train team members and clients on new systems and data handling processes post-migration.
- Provide ongoing support and troubleshooting for data-related issues.
Qualifications:
- Bachelor’s degree in information technology, Computer Science, or a related field; advanced degree preferred.
- Minimum of 5-10 years of experience in the insurance domain with a focus on data migration projects.
- Strong knowledge of insurance products, underwriting, claims, and regulatory requirements.
- Proficient in data migration tools and techniques, with experience in ETL processes.
- Excellent analytical and problem-solving skills with a keen attention to detail.
- Strong communication and presentation skills to interact with various stakeholders.
Minimum Skills Required: Overview:
We are seeking an experienced Insurance Domain Expert to lead data migration projects within our organization. The ideal candidate will have a deep understanding of the insurance industry, data management principles, and hands-on experience in executing successful data migration initiatives.
Key Responsibilities:
1. Industry Expertise:
- Provide insights into best practices within the insurance domain to ensure compliance and enhance data quality.
- Stay updated on regulatory changes affecting the insurance industry that may impact data processing and migration.
2. Data Migration Leadership:
- Plan, design, and implement comprehensive data migration strategies to facilitate smooth transitions between systems.
- Oversee the entire data migration process, including data extraction, cleaning, transformation, and loading (ETL / ELT).
3. Collaboration and Communication:
- Liaise between technical teams and business stakeholders to ensure alignment of migration objectives with business goals.
- Prepare and present progress reports and analytical findings to management and cross-functional teams.
4. Risk Management:
- Identify potential data migration risks and develop mitigation strategies.
- Conduct thorough testing and validation of migrated data to ensure accuracy and integrity.
5. Training and Support:
- Train team members and clients on new systems and data handling processes post-migration.
- Provide ongoing support and troubleshooting for data-related issues.
Qualifications:
- Bachelor’s degree in information technology, Computer Science, or a related field; advanced degree preferred.
- Minimum of 5-10 years of experience in the insurance domain with a focus on data migration projects.
- Strong knowledge of insurance products, underwriting, claims, and regulatory requir
About NTT DATA
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at
Director Data Science & Data Engineering
Posted today
Job Viewed
Job Description
At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.
Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.
Director – Data Science & Data Engineering
Shape the Future of AI-Driven eCommerce Discovery
About the Role
We're reimagining how people discover products in eCommerce—and we're looking for a visionary leader who blends technical depth with product intuition. If you're passionate about structured data, large language models, and building high-impact data products, this role is tailor-made for you.
As Director of Data Science & Data Engineering, you’ll lead a talented team of data scientists, analysts, and engineers working at the cutting edge of AI/ML, product analytics, and taxonomy design. Your mission? Drive innovation in product discovery through smarter data, scalable infrastructure, and breakthrough AI-powered solutions.
You’ll join the Product Knowledge org and play a key role in designing the backbone of next-gen search, recommendations, and generative AI experiences.
This is a high-impact, high-agency role—perfect for a hands-on leader who thrives in fast-paced, collaborative environments.
What You’ll Work On
Lead and inspire a cross-functional team to:
Transform Product Data into Insights
Conduct deep-dive SQL and Python analyses to uncover opportunities in taxonomy, ontology, and catalog structure that enhance discovery and user experience.
Harness the Power of Generative AI
Use prompt engineering and LLMs to create innovative tools for classification, taxonomy validation, and data enrichment.
Build & Evaluate AI/ML Models
Design frameworks to evaluate product knowledge models, semantic embeddings, and ML-based categorization systems.
Drive Data-Informed Strategy
Translate complex findings into clear, actionable insights for Product and Engineering teams. Influence roadmap decisions on entity resolution, catalog optimization, and knowledge graph development.
Partner Across Functions
Collaborate closely with Applied Research, Engineering, and Product teams to build and deploy high-impact data and AI solutions at scale.
Experiment & Innovate Fast
Prototype quickly, validate hypotheses, and iterate on structured data and AI-driven solutions that push boundaries.
What You Bring
12+ years of experience in data science or analytics roles, including 5+ years leading teams
Proven track record building data products, knowledge graphs, and scalable data pipelines
Deep understanding of eCommerce search, recommendation systems, and product analytics
Hands-on experience with LLMs, prompt engineering, and RAG techniques (preferred)
Strong communication skills and ability to influence cross-functional stakeholders
Experience evaluating ML models with custom metrics and robust frameworks
Startup mindset—comfortable with ambiguity, bias for action, and fast iteration
Why Join Us
Be at the forefront of AI-powered product discovery in eCommerce
Own high-impact initiatives in a startup-style culture with real autonomy
Work alongside world-class talent across AI, Product, and Engineering
Build solutions that scale—serving millions of users and shaping the future of shopping
Ready to lead the next wave of AI + Data innovation in commerce? Let’s build the future together.
Please see the for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at . We will make every effort to respond to your request for accommodation as soon as possible. View our to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our for more information.
Data Engineering
Posted today
Job Viewed
Job Description
Job Title: Middleware Engineer
Position: Data Engineer
Experience: 5-6yrs
Category: IT Infrastructure
Main location: India, Karnataka, Bangalore
Employment Type: Full Time
Qualification: Bachelor's degree in Computer Science or related field or higher.
Roles and Responsibilities
Data Engineer - 5-6 years experience.
Responsibilities
===
Design, develop, and maintain data architectures, pipelines, and workflows for the collection, processing, storage, and retrieval of large volumes of structured and unstructured data from multiple sources.
Collaborate with cross-functional teams to identify and prioritize data engineering requirements and to develop and deploy data-driven solutions to address business challenges.
Build and maintain scalable data storage and retrieval systems (e.g., data lakes, data warehouses, databases), fault-tolerant, and high-performance data platforms on cloud infrastructure such as AWS, Azure, or Google Cloud Platform.
Develop and maintain ETL workflows, data pipelines, and data transformation processes to prepare data for machine learning and AI applications.
Implement and optimize distributed computing frameworks such as Hadoop, Spark, or Flink to support high-performance and scalable processing of large data sets.
Build and maintain monitoring, alerting, and logging systems to ensure the availability, reliability, and performance of data pipelines and data platforms.
Collaborate with Data Scientists and Machine Learning Engineers to deploy models on production environments and ensure their scalability, reliability, and accuracy.
Requirements:
===
Bachelor s or master s degree in computer science, engineering, or related field.
At least 5-6 years of experience in data engineering, with a strong background in machine learning, cloud computing and big data technologies.
Experience with at least one major cloud platform (AWS, Azure, GCP).
Proficiency in programming languages like Python, Java, and SQL.
Experience with distributed computing technologies such as Hadoop, Spark, and Kafka.
Familiarity with database technologies such as SQL, NoSQL, NewSQL.
Experience with data warehousing and ETL tools such as Redshift, Snowflake, or Airflow.
Strong problem-solving and analytical skills.
Excellent communication and teamwork skills.
Preferred qualification:
===
Experience with DevOps practices and tools such as Docker, Kubernetes, or Ansible, Terraform.
Experience with data visualization tools such as Tableau, Superset, Power BI, or Plotly, D3.js.
Experience with stream processing frameworks such as Kafka, Pulsar or Kinesis.
Experience with data governance, data security, and compliance.
Experience with software engineering best practices and methodologies such as Agile or Scrum.
Must Have Skills
===
data engineer with expertise in machine learning, cloud computing , and big data technologies.
Data Engineering Experince on multiple clouds one of them , preferably GCP
data lakes, data warehouses, databases
ETL workflows, data pipelines,data platforms
Hadoop, Spark, or Flink
Hadoop, Spark, and Kafka
SQL, NoSQL, NewSQL
Redshift, Snowflake, or Airflow
Data engineering
Posted 2 days ago
Job Viewed
Job Description
Data Engineering Consultant
Posted 3 days ago
Job Viewed
Job Description
Data engineering emphasis supports the ongoing digital transformation and modernization of internal audit's risk assessment, automation efforts, and risk monitoring activities. This position is responsible for supporting Internal Audit engagements with scalable, end-to-end ETL and analytic processes. Additionally, the role is responsible for working closely with data analytics teams to create robust scripted data solutions, develop and support business monitoring tools, and support existing data systems and analytic reports. This includes identifying and integrating data sources, assessing data quality, and developing and executing data analytic tools/languages to support enterprise analytical risk assessments. This role is integral to our strategy to enable Internal Audit with data driven insights and bring value to our business partners.
The role will challenge you to leverage your data analytics skills on a variety of initiatives in a hands-on role, as well as the opportunity to develop your skills as an auditor in a matrixed and cross-functional internal audit department.
**Primary Responsibilities:**
+ Automation and Data Modeling
+ Design, build, and maintain automated data pipelines for extracting, transforming, and loading data from diverse sources (enterprise platforms, SharePoint, NAS drives, etc.)
+ Develop robust and scalable data models to support risk surveillance analytics and reporting needs
+ Implement and maintain workflows for scheduling and monitoring ETL/ELT jobs to ensure data freshness and reliability
+ Utilize scripting and workflow automation tools to reduce manual intervention in data movement and processing
+ Integrate new data sources and automate ingestion processes to expand surveillance coverage
+ Data Management and Governance
+ Ensure data quality, completeness, and consistency across all risk surveillance datasets
+ Develop and enforce data validation, cleansing, and transformation procedures to support accurate analysis
+ Implement data security and access controls in compliance with regulatory and organizational standards
+ Maintain detailed metadata, data dictionaries, and lineage documentation for all data assets
+ Support data governance initiatives, including data cataloguing, retention policies, and audit readiness
+ Collaboration and Communication
+ Partner with Risk Surveillance partners, data analysts, and audit teams to understand requirements and deliver analytical-ready datasets
+ Collaborate with IT, data stewards, and business partners to resolve data issues and facilitate access to new data sources
+ Communicate data pipeline status, issues, and solution approaches clearly to both technical and non-technical stakeholders
+ Provide training and support for users on data tools, repositories, and best practices
+ Document data workflows, processes, and solutions for knowledge sharing and operational continuity
+ 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,
Be The First To Know
About the latest Data projects Jobs in India !
Data Engineering Specialist
Posted 5 days ago
Job Viewed
Job Description
+ We are seeking an experienced Data Engineering Specialist interested in challenging the status quo to ensure the seamless creation and operation of the data pipelines that are needed by Sanofi's advanced analytic, AI and ML initiatives for the betterment of our global patients and customers.
+ Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives
**Main Responsibilities:**
+ Establish technical designs to meet Sanofi requirements aligned with the architectural and Data standards
+ Ownership of the entire back end of the application, including the design, implementation, test, and troubleshooting of the core application logic, databases, data ingestion and transformation, data processing and orchestration of pipelines, APIs, CI/CD integration and other processes
+ Fine-tune and optimize queries using Snowflake platform and database techniques
+ Optimize ETL/data pipelines to balance performance, functionality, and other operational requirements.
+ Assess and resolve data pipeline issues to ensure performance and timeliness of execution
+ Assist with technical solution discovery to ensure technical feasibility.
+ Assist in setting up and managing CI/CD pipelines and development of automated tests
+ Developing and managing microservices using python
+ Conduct peer reviews for quality, consistency, and rigor for production level solution
+ Design application architecture for efficient concurrent user handling, ensuring optimal performance during high usage periods
+ Own all areas of the product lifecycle: design, development, test, deployment, operation, and support
**About you**
+ **Qualifications:**
+ 5+ years of relevant experience developing backend, integration, data pipelining, and infrastructure
+ Expertise in database optimization and performance improvement
+ Expertise in Python, PySpark, and Snowpark
+ Experience data warehousing and object-relational database (Snowflake and PostgreSQL) and writing efficient SQL queries
+ Experience in cloud-based data platforms (Snowflake, AWS)
+ Proficiency in developing robust, reliable APIs using Python and FastAPI Framework
+ Expert in ELT and ETL & experience working with large data sets and performance and query optimization. IICS is a plus
+ Understanding of data structures and algorithms
+ Understanding of DBT is a plus
+ Experience in modern testing framework (SonarQube, K6 is a plus)
+ Strong collaboration skills, willingness to work with others to ensure seamless integration of the server-side and client-side
+ Knowledge of DevOps best practices and associated tools is a plus, especially in the setup, configuration, maintenance, and troubleshooting of associated tools:
+ **Containers and containerization technologies** (Kubernetes, Argo, Red Hat OpenShift)
+ Infrastructure as code (Terraform)
+ Monitoring and Logging (CloudWatch, Grafana)
+ CI/CD Pipelines (JFrog Artifactory)
+ Scripting and automation (Python, GitHub, Github actions)
+ Experience with JIRA & Confluence
+ Workflow orchestration (Airflow)
+ Message brokers (RabbitMQ)
+ Education: Bachelor's degree in computer science, engineering, or similar quantitative field of study
Why choose us?
+ Bring the miracles of science to life alongside a supportive, future-focused team.
+ Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally.
+ Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
+ Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave.
+ Opportunity to work in an international environment, collaborating with diverse business teams and vendors, working in a dynamic team, and fully empowered to propose and implement innovative ideas.
**Pursue** _Progress_ . **Discover** _Extraordinary_ .
Progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let's pursue progress. And let's discover extraordinary together.
At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.
Watch our ALL IN video ( and check out our Diversity Equity and Inclusion actions at sanofi.com ( !
Languages: English is a must
**Pursue** **_progress_** **, discover** **_extraordinary_**
Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our ALL IN video ( and check out our Diversity Equity and Inclusion actions at sanofi.com ( !
Global Terms & Conditions and Data Privacy Statement ( is dedicated to supporting people through their health challenges. We are a global biopharmaceutical company focused on human health. We prevent illness with vaccines, provide innovative treatments to fight pain and ease suffering. We stand by the few who suffer from rare diseases and the millions with long-term chronic conditions.
With more than 100,000 people in 100 countries, Sanofi is transforming scientific innovation into healthcare solutions around the globe. Discover more about us visiting or via our movie We are Sanofi ( an organization, we change the practice of medicine; reinvent the way we work; and enable people to be their best versions in career and life. We are constantly moving and growing, making sure our people grow with us. Our working environment helps us build a dynamic and inclusive workplace operating on trust and respect and allows employees to live the life they want to live.
All in for Diversity, Equity and Inclusion at Sanofi - YouTube (
Data Engineering Consultant
Posted 7 days ago
Job Viewed
Job Description
**Primary Responsibilities:**
+ Ingest data from multiple on-prem and cloud data sources using various tools & capabilities in Azure
+ Design and develop Azure Databricks processes using PySpark/Spark-SQL
+ Design and develop orchestration jobs using ADF, Databricks Workflow
+ Analyzing data engineering processes being developed and act as an SME to troubleshoot performance issues and suggest solutions to improve
+ Building test framework for the Databricks notebook jobs for automated testing before code deployment
+ Design and build POCs to validate new ideas, tools, and architectures in Azure
+ Continuously explore new Azure services and capabilities; assess their applicability to business needs
+ Prepare case studies and technical write-ups to showcase successful implementations and lessons learned
+ Work closely with clients, business stakeholders, and internal teams to gather requirements and translate them into technical solutions using best practices and appropriate architecture
+ Contribute to full lifecycle project implementations, from design and development to deployment and monitoring
+ Ensure solutions adhere to security, compliance, and governance standards
+ Monitor and optimize data pipelines and cloud resources for cost and performance efficiency
+ Identifies solutions to non-standard requests and problems
+ Mentor and support existing on-prem developers for cloud environment
+ 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,
Data Engineering manager
Posted 7 days ago
Job Viewed
Job Description
Who We Are:
Ever wonder who brings the entertainment to your flights? Panasonic Avionics Corporation is #1 in the industry for delivering inflight products such as movies, games, WiFi, and now Bluetooth headphone connectivity!
How exciting would it be to be a part of the innovation that goes into creating technology that delights millions of people in an industry that's here to stay! With our company's history spanning over 40 years, you will have stability, career growth opportunities, and will work with the brightest minds in the industry. And we are committed to a diverse and inclusive culture that will help our organization thrive! We seek diversity in many areas such as background, culture, gender, ways of thinking, skills and more.
If you want to learn more about us visit us at ( . And for a full listing of open job opportunities go to (
**The Position:**
We are seeking a proven Data Engineering Leader to drive the design, development, and deployment of scalable, secure, and high-performance data solutions. This role will lead high-performing teams, architect cloud-native data platforms, and collaborate closely with business, AI/ML, and BI teams to deliver end-to-end data products that power innovation and strategic decision-making.
The position offers the opportunity to shape data architecture strategy, establish best practices in Lakehouse and streaming solutions, and enable advanced analytics and AI/ML at scale.
**Responsibilities**
**What We're Looking For:**
+ Proven leadership in building and mentoring high-performing data engineering teams.
+ Expertise in architecting cloud-native data platforms on AWS, leveraging services such as EMR, EKS, Glue, Redshift, S3, Lambda, and SageMaker.
+ Strong background in Lakehouse architecture (Glue Catalog, Iceberg, Delta Lake) and distributed processing frameworks (Spark, Hive, Presto).
+ Experience with real-time streaming solutions (Kafka, Kinesis, Flink).
+ Proficiency in orchestrating complex data workflows with Apache Airflow.
+ Hands-on experience with GitLab CI/CD, Terraform, CloudFormation Templates, and Infrastructure-as-Code.
+ Strong understanding of MDM strategies and data governance best practices (GDPR, HIPAA, etc.).
+ Ability to design and develop middleware APIs (REST) to seamlessly integrate data pipelines with applications and analytics platforms.
+ Experience supporting AI/ML teams with feature engineering, training, and deployment pipelines using SageMaker.
+ Solid knowledge of SQL & NoSQL databases (Redshift, DynamoDB, PostgreSQL, Elasticsearch).
+ Familiarity with BI enablement and data modeling for visualization platforms like Amazon QuickSight.
+ In-depth knowledge of security best practices in AWS-based data architectures.
+ Demonstrated success in driving AI/ML initiatives from ideation to production.
**Our Principles:** ** **
Contribution to Society | Fairness & Honesty | Cooperation & Team Spirit | Untiring Effort for Improvement | Courtesy & Humility | Adaptability | Gratitude
**What We Offer:** ** **
At Panasonic Avionics Corporation we realize the most important aspects in leading our industry are the bright minds behind everything we do. We are proud to offer our employees a highly competitive, comprehensive and flexible benefits program.
**Qualifications**
**Educational Background:**
+ Bachelor's degree or higher in Computer Science, Data Engineering, Aerospace Engineering, or a related field.
+ Advanced degrees (Master's/PhD) in Data Science or AI/ML are a plus.
REQ-