Posted 25 July, 2026
PySpark - Hyderabad
Diverse Lynx
Telangana,500001
Full Time
Reference: 365_569689_26-02041
Hiring for PySpark - Hyderabad
Required Skills
- 4–6 years of experience in Data Engineering, Big Data Development, or related roles.
- Strong hands-on experience with PySpark and Apache Spark.
- Proficiency in Python programming.
- Experience in developing ETL/ELT workflows and data transformation processes.
- Strong SQL skills with experience in relational and analytical databases.
- Knowledge of distributed computing concepts and big data processing.
- Experience working with Hadoop ecosystem components such as HDFS, Hive, and YARN.
- Familiarity with data formats such as Parquet, Avro, ORC, JSON, and CSV.
- Understanding of data modeling and data warehousing concepts.
- Experience with Git or other version control systems.
Preferred Skills
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Knowledge of Databricks or Spark-based cloud platforms.
- Familiarity with workflow orchestration tools such as Airflow, Oozie, or Azure Data Factory.
- Exposure to Kafka or other streaming technologies.
- Experience with CI/CD pipelines and DevOps practices.
- Knowledge of Delta Lake, Iceberg, or Lakehouse architectures.
Educational Qualifications
- Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.
Required Skills
- 4–6 years of experience in Data Engineering, Big Data Development, or related roles.
- Strong hands-on experience with PySpark and Apache Spark.
- Proficiency in Python programming.
- Experience in developing ETL/ELT workflows and data transformation processes.
- Strong SQL skills with experience in relational and analytical databases.
- Knowledge of distributed computing concepts and big data processing.
- Experience working with Hadoop ecosystem components such as HDFS, Hive, and YARN.
- Familiarity with data formats such as Parquet, Avro, ORC, JSON, and CSV.
- Understanding of data modeling and data warehousing concepts.
- Experience with Git or other version control systems.
Preferred Skills
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Knowledge of Databricks or Spark-based cloud platforms.
- Familiarity with workflow orchestration tools such as Airflow, Oozie, or Azure Data Factory.
- Exposure to Kafka or other streaming technologies.
- Experience with CI/CD pipelines and DevOps practices.
- Knowledge of Delta Lake, Iceberg, or Lakehouse architectures.
Educational Qualifications
- Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.