Senior Data Engineer
IND-BLR-Divyasree Technopolis
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
What you’ll work on
Full postingDesign and build data pipelines on the AWS data stack
Lead the AIDE team's delivery of analytics capabilities on Snowflake
Mentor and give technical guidance to junior data engineers
Drive adoption of Agentic AI to automate data engineering workflows
Maintain system documentation that meets LSEG requirements
From the employer’s posting
building and managing data pipelines on the AWS Data Stack
leading the AIDE team's delivery of best-of-breed analytics capabilities using the Snowflake cloud data warehouse
Mentor and provide technical guidance to junior data engineers.
Drive the adoption of Agentic AI capabilities to automate data engineering workflows
Maintain system documentation in conformance with LSEG requirements.
What you’ll bring
All qualificationsCore experience
- Bachelor's degree in Computer Science, Engineering, Information Systems or a related field, or equivalent practical experience.
Qualification wording
Bachelor's degree in Computer Science, Engineering, Information Systems or a related field, or equivalent practical experience.
Tools in this posting
- Python
- SQL
- AWS
- Iceberg
- SageMaker
- Snowflake
- Terraform
- pandas
- PySpark
Source — Tool mentions in context
The individual is passionate about designing and developing technical solutions to support business priorities and drive a data driven culture. This role involves building and managing data pipelines on the AWS Data Stack and leading the AIDE team's delivery of best-of-breed analytics capabilities using the Snowflake cloud data warehouse. Working closely with Solution Designers, Product Owners, and customers, this role requires a deep understanding of data warehousing principles, cloud architecture, modern data engineering practices, and Agentic Driven Development. This role is responsible for building and optimizing modern data platforms leveraging Snowflake, AWS Data Engineering Services (Glue, SMUS, MWAA etc.), Python, PySpark, and working experience with Iceberg or other open file formats. The ideal candidate will possess strong hands-on experience in cloud data engineering, data warehousing, lakehouse architectures, and Agentic Driven Development, and will act as a technical authority across the team. Experience: 7+ years in Data Engineering or related roles, including experience mentoring or guiding junior engineers.
- Strong experience in SQL, including structured and semi-structured data (XML and JSON), and developing ETL/ELT pipelines in and out of a data warehouse. - Strong experience with Python (Pandas and PySpark) for data ingestion and transformation. - Working experience with Iceberg or other open file formats.
- Strong experience working with Relational/Dimensional data models, Data Lakes and Medallion Architecture. - Strong experience in SQL, including structured and semi-structured data (XML and JSON), and developing ETL/ELT pipelines in and out of a data warehouse. - Strong experience with Python (Pandas and PySpark) for data ingestion and transformation.
The individual is passionate about designing and developing technical solutions to support business priorities and drive a data driven culture. This role involves building and managing data pipelines on the AWS Data Stack and leading the AIDE team's delivery of best-of-breed analytics capabilities using the Snowflake cloud data warehouse. Working closely with Solution Designers, Product Owners, and customers, this role requires a deep understanding of data warehousing principles, cloud architecture, modern data engineering practices, and Agentic Driven Development. This role is responsible for building and optimizing modern data platforms leveraging Snowflake, AWS Data Engineering Services (Glue, SMUS, MWAA etc.), Python, PySpark, and working experience with Iceberg or other open file formats. The ideal candidate will possess strong hands-on experience in cloud data engineering, data warehousing, lakehouse architectures, and Agentic Driven Development, and will act as a technical authority across the team.
Required Skills & Experience (Must have): - Strong experience creating and optimizing data pipelines on AWS using SageMaker Unified Studio and Glue. - Strong experience working with Relational/Dimensional data models, Data Lakes and Medallion Architecture.
- Experience with Generative AI-assisted development tools such as GitHub Copilot, Microsoft Copilot, Amazon Q, or similar AI coding assistants. - Familiarity with AI/ML services such as Snowflake Cortex, AWS Bedrock, OpenAI, or similar platforms. Nice to have:
- Strong experience with Python (Pandas and PySpark) for data ingestion and transformation. - Working experience with Iceberg or other open file formats. - Demonstrated experience driving adoption of Agentic AI capabilities to automate data engineering workflows.
- Maintain system documentation in conformance with LSEG requirements. - Become a Snowflake and data subject authority, capable of explaining the product suite and engaging with a wide audience. - Steer, guide and assist disparate teams seeking integrations; input into evolving LSEG policies and standards.
- Maintain system documentation in conformance with LSEG requirements. - Become Snowflake and data subject authority, capable of explaining our product suite and engaging with wide audience. - Steer, guide and assist disparate teams seeking integrations; input into evolving LSEG policies and standards.
Nice to have: - Experience building or working with CI/CD pipelines (GitLab, Jenkins, Terraform). - Experience mentoring junior engineers or leading technical design discussions.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 9, 2026 · 9 days ago
- Recorded sightings
- 36
- Last seen by us
- Oct 18, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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Job description
The individual is passionate about designing and developing technical solutions to support business priorities and drive a data driven culture. This role involves building and managing data pipelines on the AWS Data Stack and leading the AIDE team's delivery of best-of-breed analytics capabilities using the Snowflake cloud data warehouse. Working closely with Solution Designers, Product Owners, and customers, this role requires a deep understanding of data warehousing principles, cloud architecture, modern data engineering practices, and Agentic Driven Development.
This role is responsible for building and optimizing modern data platforms leveraging Snowflake, AWS Data Engineering Services (Glue, SMUS, MWAA etc.), Python, PySpark, and working experience with Iceberg or other open file formats. The ideal candidate will possess strong hands-on experience in cloud data engineering, data warehousing, lakehouse architectures, and Agentic Driven Development, and will act as a technical authority across the team.
Experience: 7+ years in Data Engineering or related roles, including experience mentoring or guiding junior engineers.
Key Responsibilities:
- Understand the context of data sets that enable analytics and guide others in doing so.
- Design, develop and implement SAD approved capability using agreed tooling and techniques into the LSEG Corporate Data Cloud.
- Ensure all work conforms to security, infrastructure, product and other internal requirements.
- Maintain system documentation in conformance with LSEG requirements.
- Become a Snowflake and data subject authority, capable of explaining the product suite and engaging with a wide audience.
- Steer, guide and assist disparate teams seeking integrations; input into evolving LSEG policies and standards.
- Ensure that all processes and documentation are adequate and effective to meet support and audit requirements.
- Work as part of an Agile scrum team, collaborating closely with business customers, Technology Product Owner, Solution Architects and Delivery leads.
- Mentor and provide technical guidance to junior data engineers.
- Drive the adoption of Agentic AI capabilities to automate data engineering workflows, including code generation, data quality validation, metadata management, pipeline monitoring, and operational troubleshooting.
Required Skills & Experience (Must have):
- Strong experience creating and optimizing data pipelines on AWS using SageMaker Unified Studio and Glue.
- Strong experience working with Relational/Dimensional data models, Data Lakes and Medallion Architecture.
- Strong experience in SQL, including structured and semi-structured data (XML and JSON), and developing ETL/ELT pipelines in and out of a data warehouse.
- Strong experience with Python (Pandas and PySpark) for data ingestion and transformation.
- Working experience with Iceberg or other open file formats.
- Demonstrated experience driving adoption of Agentic AI capabilities to automate data engineering workflows.
- Experience with Generative AI-assisted development tools such as GitHub Copilot, Microsoft Copilot, Amazon Q, or similar AI coding assistants.
- Familiarity with AI/ML services such as Snowflake Cortex, AWS Bedrock, OpenAI, or similar platforms.
Nice to have:
- Experience building or working with CI/CD pipelines (GitLab, Jenkins, Terraform).
- Experience mentoring junior engineers or leading technical design discussions.
Qualifications:
- Bachelor's degree in Computer Science, Engineering, Information Systems or a related field, or equivalent practical experience.
About the Team:
As a team we:
- Understand context of data sets that enable analytics.
- Design, develop and implement SAD approved capability using agreed tooling and techniques into LSEG Corporate Data Cloud.
- Ensure all work conforms to security, infrastructure, product and other internal requirements.
- Maintain system documentation in conformance with LSEG requirements.
- Become Snowflake and data subject authority, capable of explaining our product suite and engaging with wide audience.
- Steer, guide and assist disparate teams seeking integrations; input into evolving LSEG policies and standards.
- Ensure that all processes and documentation are adequate and effective to meet support and audit requirements.
- Work as part of an Agile scrum team, collaborating closely with business customers, Technology Product Owner, Solution Architects and Delivery leads.
We're proud to have been recognised as a Great Place to Work® in India ‘25
Career Stage:
Senior AssociateLondon Stock Exchange Group (LSEG) Information:
Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject.
If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
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IND-BLR-Divyasree Technopolis
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