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PySpark Scala Developer - Consultant / Senior Consultant Job Opening In Mumbai – Now Hiring Confidential


Job description

Role: Spark Scala Developer

Experience: 3–8 years

Location: Bengaluru

Employment Type: Full-time

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.

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

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

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your PySpark Scala Potential: Insight & Career Growth Guide


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