Data Engineer

2 days ago


Cochin, Kerala, India ChiSquarelabs Full time ₹ 8,00,000 - ₹ 12,00,000 per year

We are looking for a highly skilled Data Engineer with expertise in PySpark and Databricks to design, build, and optimize scalable data pipelines for processing massive datasets.

IMMEDIATE JOINERS PREFERRED

Responsibilities

  • Build & Optimize Pipelines: Develop high-throughput ETL workflows using PySpark on Databricks.

  • Data Architecture & Engineering: Work on distributed computing solutions, optimize Spark jobs, and build efficient data models.

  • Performance & Cost Optimization: Fine-tune Spark configurations, optimize Databricks clusters, and reduce compute/storage costs.

  • Collaboration: Work closely with Data Scientists, Analysts, and DevOps teams to ensure data reliability.

  • ETL & Data Warehousing: Implement scalable ETL processes for structured & unstructured data.

  • Monitoring & Automation: Implement logging, monitoring, and alerting mechanisms for data pipeline health and fault tolerance.

Qualifications

  • Bachelor's/Master's in Computer Science, Data Engineering, or a related field.

  • 3+ years of experience in Big Data Engineering with PySpark & Databricks.

  • Strong understanding of distributed computing, partitioning, and Spark internals(RDDs, DAGs, Catalyst Optimizer).

  • Expertise in SQL & NoSQL databases for structured & semi-structured data.

  • Proficiency in Python and Linux-based environments.

  • Experience with Kafka (or other streaming platforms) and HealthCare Data [Optional].

  • Familiarity with AWS/GCP/Azure and storage solutions (S3, Delta Lake, HDFS).

Tech Stack
  • Python | PySpark | Databricks

- SQL | Data Warehousing | Delta Lake

- Linux | Shell Scripting

- Kafka (Optional)

- Cloud Platforms (AWS/GCP/Azure)

Join us and build the future of data engineering

Job Types: Full-time, Permanent, Contractual / Temporary

Work Location: In person


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