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Data Operations Lead for Product based Company-Pune(WFH)

6 years

0 Lacs

Pune Maharashtra India

Posted:1 week ago| Platform: Linkedin logo

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Skills Required

data software engineering etl reliability automate scalability resolve analytics devops support monitoring logging governance controls compliance deployment configuration sql relational postgresql pipeline apache aws gcp redshift scripting python git splunk code terraform kafka spark

Work Mode

Remote

Job Type

Full Time

Job Description

Position: Sr Data Operations

Years of Experience – 6-8 Years

Job Location: S.B Road –Pune, For other locations (Remote)

The Position

We are seeking a seasoned engineer with a passion for changing the way millions of people save energy. You’ll work within the Deliver and Operate team to build and improve our platforms to deliver flexible and creative solutions to our utility partners and end users and help us achieve our ambitious goals for our business and the planet.


Software Engineer II for Data Operations team

Responsibilities & Skills

You should:

  • Monitor and maintain data pipelines and ETL processes to ensure reliability and performance.
  • Automate routine data operations tasks and optimize workflows for scalability and efficiency.
  • Troubleshoot and resolve data-related issues, ensuring data quality and integrity.
  • Collaborate with data engineering, analytics, and DevOps teams to support data infrastructure.
  • Implement monitoring, alerting, and logging systems for data pipelines.
  • Maintain and improve data governance, access controls, and compliance with data policies.
  • Support deployment and configuration of data tools, services, and platforms.
  • Participate in on-call rotation and incident response related to data system outages or failures.

Required Skills :

  • 5+ years of experience in data operations, data engineering, or a related role.
  • Strong SQL skills and experience with relational databases (e.g., PostgreSQL, MySQL).
  • Proficiency with data pipeline tools (e.g., Apache Airflow).
  • Experience with cloud platforms (AWS, GCP) and cloud-based data services (e.g., Redshift, BigQuery).
  • Familiarity with scripting languages such as Python, Bash, or Shell.
  • Knowledge of version control (e.g., Git) and CI/CD workflows.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
  • Experience with data observability tools (e.g., Splunk, DataDog).
  • Background in DevOps or SRE with focus on data systems.
  • Exposure to infrastructure-as-code (e.g., Terraform, CloudFormation).
  • Knowledge of streaming data platforms (e.g., Kafka, Spark Streaming).

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