
PySpark Scala Developer
2 weeks ago
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 modern 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
Requirements
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
Benefits
Work with one of the Big 4's in India
Healthy work Environment
Work Life Balance
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