Data Engineer (Cloud & Analytics) Data Enrichment AIML

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:

Manager

Employment Type : Full-Time
Experience: years
Vacancy: 1