Data Engineer
We are looking for an experienced and resilient person to join our growing team of analytic experts and willing to learn through bigger challenges.
What you will do:
Work closely with product and engineering team to understand the domains, features and metrics
Design and build scalable data pipelines to handle data from different sources
Extract data using ETL tools and load to data warehouse ( AWS Redshift / Google BigQuery)
Implement batch processing for structured and unstructured data
Analyse data and create visualizations using tools like Tableau/Metabase/GoogleDataStudio which helps in implementing business decisions
Work on core data team which designs and maintain the Data warehouse
Troubleshooting and resolving issues in data processing and pipelines.
Should be able to anticipate problems and build processes to avoid them.
Learn new technology in a short span of time.
Setting up CI/CD.
What makes you a great fit
Proficiency in database design and writing SQL queries
Experience in any of data warehouse solutions AWS Redshift / Google BigQuery / Snowflake
Knowledge on platforms such as Segment / HevoData / Stitch / Amplitude / Clevertap
Hands on experience in ApacheSpark / Python / R / Hadoop / Kafka
Knowledge on working with connectors (REST / SOAP etc.)
Experience in BI platforms like Metabase / Power BI / Tableau / Google Data Studio