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If you are a PySpark Developer / Senior Data Engineer looking for excitement, challenge and stability in your work, then you would be glad to come across this page. We are an IT Solutions Integrator/Consulting Firm helping our clients hire the right professional for an exciting long-term project. Here are a few details.

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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 solid 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

- Robust 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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📌 PySpark Developer / Senior Data Engineer (Hyderabad)
🏢 Alignity Solutions
📍 Hyderabad