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
Desired Skills and Experience
- 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 with Snowflake and Airflow
- Exposure to Java Script
Key Responsibilities
- The resource should operate during US hours (11 PM IST to 8 AM IST)
- Support and debug data load errors during US hours
- Update urgent dataset config changes and manage tagging requests
- Support the inhouse developed tools app, excel add in and any testing needed for MDS issues from investment team
- Engage with vendors and technical teams to systematically ingest, evaluate, and create valuable data assets.
- 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
- Data Engineering, support and operations
Behavioral Competencies
- Good communication (verbal and written)
- Experience in managing client stakeholders
