Data Engineer
Core
Design and build scalable data pipelines, extract and load data into warehouses, and create visualizations to support business decisions.
Role type
Data Engineer
Builds
Scalable data pipelines and data warehouse infrastructure
Domain
Fintech, Payments, Digital Commerce, Blockchain, Healthcare
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, database design, ETL tools, batch processing, CI/CD setup, data visualization, REST/SOAP connectors
Preferred skills
ApacheSpark, Python, R, Hadoop, Kafka, AWS Redshift, Google BigQuery, Snowflake, Segment, HevoData, Stitch, Amplitude, Clevertap, Tableau, Metabase, Power BI, Google Data Studio
Technologies
AWS Redshift, Google BigQuery, Snowflake, ApacheSpark, Kafka, Tableau, Metabase, Power BI, Segment, HevoData, Stitch, Amplitude, Clevertap
Responsibilities
Design and build scalable data pipelines; Extract data using ETL tools and load to data warehouse; Implement batch processing for structured and unstructured data; Analyse data and create visualizations; Work on core data team which designs and maintains the Data warehouse; Troubleshooting and resolving issues in data processing and pipelines; Setting up CI/CD.
Seniority
Mid-level to Senior, hands-on IC
