PySpark Developer / Senior Data Engineer

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Role: PySpark Developer / Senior Data Engineer
Location: HYDERABAD | BANGALORE | PUNE | CHENNAI
Experience: 6+ Years
Employment Type: Contract to hire
Notice Period:0-30 days(If you have negotiable notice period or buyout option please apply)

Requirements

We are looking for an experienced PySpark Developer with strong hands-on expertise in big data processing, distributed computing, and data engineering. The ideal candidate will have deep experience building scalable data pipelines, transforming large datasets, and working with Spark-based ecosystems in production environments.

Key Responsibilities

• Design, build, and maintain scalable data pipelines using PySpark and Apache Spark
  
• Develop efficient ETL/ELT workflows for batch and near-real-time processing
  
• Optimize Spark jobs for performance, reliability, and cost efficiency
  
• Work with large structured and unstructured datasets
  
• Integrate data from multiple sources such as databases, APIs, files, and cloud storage
  
• Write reusable, modular, and maintainable PySpark code
  
• Troubleshoot job failures, data quality issues, and performance bottlenecks
  
• Collaborate with data architects, analysts, platform teams, and business stakeholders
  
• Implement data validation, monitoring, and logging frameworks
  
• Support deployment, scheduling, and orchestration of data pipelines
  
• Participate in design reviews, code reviews, and technical discussions
  
• Mentor junior engineers and contribute to team best practices
  

Required Skills

• Strong hands-on experience with PySpark and Apache Spark
  
• Deep understanding of Spark concepts such as RDDs, DataFrames, datasets, partitioning, caching, shuffling, joins, and window functions
  
• Strong Python programming skills
  
• Experience with SQL and relational databases
  
• Knowledge of big data concepts and distributed data processing
  
• Hands-on experience with ETL/ELT pipeline development
  
• Good understanding of performance tuning and optimization techniques in Spark
  
• Experience with version control tools like Git
  
• Familiarity with Linux/Unix environments
  
• Strong debugging and analytical skills
  

Benefits

Visit us at http://alignity.io/careers. Alignity Solutions is an Equal Opportunity Employer, M/F/V/D.
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