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Senior Spark Developer

📍 Kochi 🏷️ Data Engineering & BI 💰 ₹97,000 / month

About the Role

Infopark in Kochi's Kakkanad area has a Senior Spark Developer opening, part time, on site, with a data engineering team processing large datasets for a growing analytics practice. Seven and a half years of experience is the expectation, and the part-time structure here comes with real, senior-level technical responsibility rather than reduced scope.

A Day in This Job

The work covers transforming raw data into structured reports, building dashboards for business stakeholders, maintaining reporting workflows, and optimizing queries that would otherwise take far too long against the data volumes this platform handles. A senior developer working part time needs real discipline about which tasks get done during scheduled hours and which can wait.

What You'll Be Doing

  • Build and maintain Spark-based data pipelines
  • Transform raw data into structured, query-optimized formats
  • Optimize slow-running Spark jobs and queries
  • Build dashboards and reports for business stakeholders

Qualifications

A bachelor's degree in computer science, information technology, or a related field is expected, along with experience working with large, real-world datasets and demonstrated proficiency in SQL, data pipelines, and BI tools. The team is looking for genuine distributed computing depth, not just familiarity with Spark's basic API.

Skills That Matter

  • Apache Spark
  • Scala or Python
  • SQL at an advanced level
  • Distributed computing fundamentals

Good to Have

Experience with a cloud-based Spark platform such as Databricks, familiarity with partition tuning for performance, and any background specifically working part time or fractionally for a data team, since that arrangement takes real self-management to make work smoothly.

Why This Role

Infopark is one of Kochi's most established tech hubs, and this team's data platform supports a genuinely large analytics practice, which means performance tuning here has real, measurable impact rather than being a theoretical concern. Naukri Mitra has listed a few data engineering roles from this employer, and the part-time structure specifically has attracted senior candidates balancing this role with other commitments, with the team explicit that the scheduled hours need full focus.

The Interview Process

Interviews include a technical round on Spark and distributed computing concepts, plus a discussion of a past optimization project. Candidates who can quantify the improvement they made tend to interview well.

Benefits

  • Pro-rated paid leave
  • Flexible in-office scheduling
  • Performance-based incentives
  • Relocation assistance and accommodation support for candidates moving to Kochi

Location & Pay

This role is based at Infopark, Kakkanad, Kochi, pin code 682042, on site during scheduled part-time hours. Pay runs up to ₹97,000 a month. The team hopes to fill this seat within five to six weeks.

Frequently Asked Questions

No, it's part time, on site during scheduled hours, though the technical responsibility remains genuinely senior-level.
Scala or Python alongside Apache Spark, plus advanced SQL and distributed computing fundamentals.
The data platform supports a genuinely large analytics practice, so tuning has real, measurable impact rather than being a theoretical concern.
A technical round on Spark and distributed computing concepts, plus a discussion of a past optimization project where quantifying the improvement matters.
Pay runs up to ₹97,000 a month, and the team hopes to fill the seat within five to six weeks.
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