Data Engineer

Job Purpose

As a key member of the DTS team, you will primarily collaborate closely with a global leading hedge fund on data engagements. Partner with data strategy and sourcing team on data requirements to design data pipelines and delivery structures

Essential skills

• B.Tech/ M.Tech/ MCA with 4-6 years of overall experience.
• Skilled in Python and SQL.
• Experience with data modeling, data warehousing, and building data pipelines.
• Experience working with FTP, API, S3 and other distribution channels to source data.
• Experience working with financial and/or alternative data products.
• Experience working with cloud native tools for data processing and distribution.
• Experience with Snowflake and Airflow.

Key Responsibilities

• Engage with vendors and technical teams to systematically ingest, evaluate, and create valuable data assets.
• Collaborate with core engineering team to create central capabilities to process, manage and distribute data assts at scale.
• Apply robust data quality rules to systemically qualify data deliveries and guarantee the integrity of financial datasets.
• Engage with technical and non-technical clients as SME on data asset offerings.

Key Metrics

• Python, SQL. Snowflake
• Data Engineering and pipelines