Scala Data Engineer

2 weeks ago

Bengaluru, Karnataka, India Modern Ballistic Full time US$ 1,50,000 - US$ 2,00,000 per year

Role & responsibilities

We are seeking a Senior Data Engineer with strong expertise in Scala, Apache Spark, and SQL to design, develop, and optimize high-performance data pipelines. The ideal candidate will have a proven track record of working with large-scale data systems, delivering robust ETL/ELT solutions, and collaborating with cross-functional teams to enable data-driven decision-making.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines using Scala and Apache Spark.
  • Optimize Spark jobs for performance and cost efficiency in distributed computing environments.
  • Develop and maintain SQL queries, stored procedures, and data transformations for analytics and reporting.
  • Integrate data from multiple sources ensuring data quality, consistency, and accuracy.
  • Work closely with data scientists, analysts, and business stakeholders to deliver data solutions aligned with requirements.
  • Implement best practices for code quality, version control, and CI/CD in data engineering projects.
  • Monitor and troubleshoot production data workflows ensuring minimal downtime.
  • Document technical designs, data models, and ETL processes.

Must-Have Skills

  • Programming: Strong expertise in Scala (functional programming, concurrency, collections).
  • Big Data Processing: Expert in Apache Spark (RDD, DataFrame/Dataset API, Spark SQL, optimization techniques).
  • Database Skills: Advanced SQL skills for relational and analytical databases (e.g., PostgreSQL, MySQL, Snowflake, Redshift).
  • ETL/ELT Development: Experience in designing and implementing large-scale ETL/ELT pipelines.
  • Data Modeling: Strong understanding of data warehouse design (Star/Snowflake schema).
  • Version Control & CI/CD: Git, Jenkins, or equivalent tools.
  • Cloud Platforms: Experience with AWS, Azure, or GCP data services (Glue, Databricks, BigQuery, etc.).
  • Performance Tuning: Proven track record of optimizing SQL queries and Spark jobs.

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