What is the Job like?

• Design, develop & maintain data platform services for varied use cases such as Data Extraction, Data Processing, Data Ingestion, Data Observability, and Data Discovery.
• Own and operate the analytical data warehouse/data lake.
• Manage the deployment of services onto multiple data centers across the globe.
• Enable performance monitoring and auto-scaling of the platform services.
• Contribute to establishing and enforcing coding & operational best practices for the team.

Who should apply?

• 3-5 years of experience in data engineering, BI engineering, and data warehouse development.
• Excellent command of one or more programming languages, preferably Python or Java.
• Excellent SQL skills.
• Knowledge of Flink, Airflow.
• Knowledge of DBT.
• Experience working with Kubernetes.
• Strong knowledge of architecture & internals of Apache Spark with multiple years of hand-on experience.
• Experience working with distributed SQL engines like Athena / Presto.
• Experience in building ETL Data Pipelines.
• Ability to cut through the buzzwords and pick the right tools for building systems centred on core principles of reliability, scalability and maintainability