Data Engineer (Cloud & Analytics) Data Enrichment AIML
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Job Summary
Required Skills & Experience
Strong background in Data Warehouse / Data Lake design and implementation.
Proficiency in data modeling ETL/ELT pipeline design (batch & streaming).
Experience with cloud data architectures (Snowflake Delta Lake Redshift BigQuery Azure Synapse).
Hands-on with Apache Spark (PySpark/Scala) Kafka Streams and Databricks.
Skilled in Python SQL and basic shell scripting for automation.
Working knowledge of AWS / Azure platforms Terraform Docker/Kubernetes.
Experience in data governance privacy (GDPR) lineage and security.
Familiar with CI/CD Git Grafana and monitoring/logging of pipelines.
Ability to collaborate with data scientists and build datasets consumable via REST APIs or BI tools (IMPACT).
Strong analytical and communication skills; experience in regulated or automotive environments is a plus.
Required Experience:
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