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)

Valuable to Have

Databricks and Spark

Docker / Kubernetes

Kafka or streaming tools

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 DataOps Engineer (Noida)
🏢 Sparix Global
📍 Noida