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Aviso AI
Senior Data EngineerAviso AI • Bellary, IN
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Senior Data Engineer

Senior Data Engineer

Aviso AI • Bellary, IN
6 days ago
Job description

About the Role:

We are looking for a data craftsman who thrives at the intersection of engineering, analytics, and operations. As a Data Engineer on our team, you will design and scale pipelines that transform raw information into business-ready insights. You’ll work across ecosystems like Python, Spark, Kubeflow, Jenkins, and GitHub to ensure our data platforms are reliable, secure, and future-ready.


This is a hands-on role where you’ll build, automate, and optimize — not just keep the lights on. If you enjoy solving complex problems, designing scalable systems, and collaborating across teams, this role is for you.


What You’ll Do:

  • Engineer scalable data pipelines using Python and Spark, integrating structured and unstructured sources (MongoDB, SQL, APIs).
  • Design and evolve Kubeflow workflows to automate and scale end-to-end data processes.
  • Enhance team productivity by leveraging Jenkins for automation and GitHub for version control, branching, and peer collaboration.
  • Debug and optimize workflows using logs and metrics from Splunk, ensuring resilience and performance.
  • Work securely and efficiently by navigating bastion hosts and shell environments (including the Python interactive shell) for quick experimentation and fixes.
  • Collaborate across teams to ensure that data solutions are clean, reliable, and aligned with business needs.
  • Optimize at scale — tune Spark jobs, SQL queries, and schema designs for high-performance data systems.
  • Develop with modern tools — whether PyCharm, VS Code, or CLI, bring your best workflow to the team.


What You Bring:

  • Strong experience building ETL/ELT pipelines in Python and Spark.
  • Proficiency in MongoDB and SQL, with a focus on performance tuning and complex transformations.
  • Knowledge of data modeling, governance, and lineage best practices.
  • Experience with cloud platforms (AWS, GCP, or Azure) and modern data stacks (Snowflake, data lakes).
  • Familiarity with streaming frameworks like Kafka or Spark Streaming.


Bonus points for:

  • Designing or scaling workflows with Kubeflow.
  • Using Jenkins for workflow automation and orchestration.
  • Leveraging Splunk for troubleshooting and performance tuning.
  • Hands-on work with bastion hosts, shell scripting, and interactive Python shells. ○ Collaborating via GitHub (branching strategies, pull requests, CI/CD).
  • Experience with Python IDEs like PyCharm or VS Code.
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Senior Data Engineer • Bellary, IN

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