DataOps Engineer

Job highlights

• Experience: 7+ Years
• Experience with ETL pipelines
• Experience with Cloud (AWS / Azure/GCP)
• Good to Have

Job Title: DataOps Engineer
Experience: 7+ Years
Role Overview
We are looking for a DataOps Engineer to build and maintain scalable data pipelines and ensure smooth, reliable data operations. The role involves working closely with data engineering, analytics, and DevOps teams to enable efficient data workflows.
Key Responsibilities
Develop and maintain ETL/ELT data pipelines
Implement DataOps practices (CI/CD) for data workflows
Monitor and optimize pipeline performance and reliability
Ensure data quality, governance, and security
Collaborate with cross-functional teams
Mandatory Skills
Strong Python and SQL
Experience with ETL pipelines
Hands-on with Airflow or similar orchestration tools
Experience with Cloud (AWS/Azure/GCP)
Knowledge of Data Warehousing (Snowflake/Redshift/BigQuery)
Understanding of CI/CD and version control (Git)
Good to Have
Databricks and Spark
Docker / Kubernetes
Kafka or streaming tools

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