Essential skills

B.Tech/ M.Tech/ MCA with 3-5 years of overall experience.

Skilled in Python (pandas and core) 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 DBT, Snowflake, and Airflow

Exposure to Linux, CI/CD and GitHub

Key Responsibilities

Partner with data strategy and sourcing team on data requirements to design data pipelines and delivery structures

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, monitor, and distribute datasets at scale

Apply robust data quality rules to systemically qualify data deliveries and guarantee the integrity of datasets

Engage with technical and non-technical clients as SME on data asset offerings

Key Metrics

Python, SQL (Snowflake), DBT models, API

Data Engineering and pipelines

Behavioral Competencies

Good communication (verbal and written), Attention to detail

Experience in managing client stakeholders