Role: Spark Scala Developer

Experience: 3–8 years

Location: Bengaluru

Employment Type: Full-time

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What We’re Looking For

We’re hiring a Spark Scala Developer who has real-world experience working in Big Data environments, both on-prem and/or in the cloud. You should know how to write production-grade Spark applications, fine-tune performance, and work fluently with Scala’s functional style. Experience with cloud platforms and contemporary data tools like Snowflake or Databricks is a strong plus.

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Your Responsibilities

• Design and develop scalable data pipelines using Apache Spark and Scala

• Optimize and troubleshoot Spark jobs for performance (e.g. memory management, shuffles, skew)

• Work with massive datasets in on-prem Hadoop clusters or cloud platforms like AWS/GCP/Azure

• Write clean, modular Scala code using functional programming principles

• Collaborate with data teams to integrate with platforms like Snowflake, Databricks, or data lakes

• Ensure code quality, documentation,



and CI/CD practices are followed

Must-Have Skills

• 3+ years of experience with Apache Spark in Scala

• Deep understanding of Spark internals—DAG, stages, tasks, caching, joins, partitioning

• Hands-on experience with performance tuning in production Spark jobs

• Proficiency in Scala functional programming (e.g. immutability, higher-order functions, Option/Either)

• Proficiency in SQL

• Experience with any major cloud platform: AWS, Azure, or GCP

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Nice-to-Have

• Worked with Databricks, Snowflake, or Delta Lake

• Exposure to data pipeline tools like Airflow, Kafka, Glue, or BigQuery

• Familiarity with CI/CD pipelines and Git-based workflows

• Comfortable with SQL optimization and schema design in distributed environments

Work with one of the Big 4's in India

Healthy work Environment

Work Life Balance

📌 PySpark Scala Developer - Consultant / Senior Consultant (Mumbai)
🏢 Important Business
📍 Mumbai