Posted:5 days ago|
Platform:
On-site
Full Time
Role: Data Engineer
Experience: 3-5 yrs
Notice Period: Immediate
Work Mode: Hybrid
Proficient in Python (Including popular python packages e.g. Pandas, NumPy etc.) and SQL
Strong background in distributed data processing and storage (e.g. Apache, Spark, Hadoop)
Large scale (TBs of data) data engineering skills - Model data, create production ready ETL pipelines
Development experience with at least one cloud (Azure high preference, AWS, GCP)
Knowledge of data lake and data lake house patterns
Knowledge of ETL performance tuning and cost optimization
Knowledge of data structures and algorithms and good software engineering practices
Experience with Azure Databricks
Knowledge of DevOps - ETL pipeline orchestration
o Tools: GitHub actions, Terraform, Databricks workflows, Azure DevOps
Certifications: Databricks, Azure, AWS, GCP highly preferred
Knowledge of code version control (e.g. Git)
Exult Global
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