Data Engineer II

• 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 centres 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.

Role: Data Engineer

Industry Type: IT Services & Consulting

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning

Education

UG: Any Graduate

PG: Any Postgraduate