Developer - PySpark
4 days ago
We are looking for skilled PySparkDevelopers to design and develop scalable data processing solutions. Therole involves working with big data platforms, building ETL pipelines,and collaborating with cross-functional teams to ensure data availability,performance, and quality.
Qualification:BE / B. TechLocation:Pune,
Key Responsibilities
- Design, develop, and optimize ETL/ELT pipelines using PySpark.
- Ingest, clean, transform, and process structured/semi-structured/unstructured data.
- Work with large-scale datasets on distributed computing platforms (Hadoop, Spark, Databricks).
- Integrate data from multiple sources including Delta Lake, Data Lake, RDBMS, APIs.
- Ensure high-performance, scalability, and reliability of data pipelines.
- Collaborate with data engineers, analysts, and data scientists to deliver business-ready datasets.
- Implement monitoring, logging, and error-handling for data pipelines.
- Contribute to data quality frameworks and best practices
Required Skills & Experience
- Bachelors degree in computer science, computer engineering or similar.
- Excellent communication skills.
- 2-10 years of experience in data engineering with strong hands-on expertise in PySpark.
- Proficiency in Python programming for data manipulation and pipeline development.
- Strong knowledge of Spark SQL, DataFrames, and RDDs.
- Experience with big data ecosystems Hadoop, Hive, or Databricks.
- Good understanding of SQL and relational databases (PostgreSQL, MySQL, Oracle).
- Familiarity with cloud platforms (AWS, Azure, GCP) and services (S3, ADLS, BigQuery).
- Experience with version control (Git) and CI/CD tools.
- Strong debugging, performance optimization, and troubleshooting skills.
- Experience with containerization (Docker, Kubernetes).
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