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Sr. Data Engineer
LSEG
IND
Full-time
Senior · 7+ years experience
Discovered 2 weeks ago
awsbedrockicebergjenkinsopenaipandas
Key Skills for This Role
awsbedrockicebergjenkinsopenaipandas
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Experience
- 7+ years in Data Engineering or related roles, including experience mentoring or guiding junior engineers.
- Bachelor's degree in Computer Science, Engineering, Information Systems or a related field, or equivalent practical experience.
- 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.
- 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.
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.
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