Data Architectural Specialist

2 days ago


Tiruppur, Tamil Nadu, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Title

We are seeking a highly skilled Python Data Engineer to join our team in an on-premise data engineering environment. The ideal candidate will have experience in ETL tools, data processing technologies, data orchestration, and relational databases.

The successful candidate should be proficient in Python scripting for data engineering tasks and have experience working with Spark, PySpark, and other relevant data technologies.

This is an excellent opportunity to work on exciting projects that require developing scalable data pipelines, real-time data streaming, and optimizing data processing tasks using Python.

Key Responsibilities:
  • Design, develop, and optimize ETL pipelines using open-source or cloud ETL tools (e.g., Apache Nifi, Talend, Pentaho, Airflow, AWS Glue).
  • Write Python scripts to automate data extraction, transformation, and loading (ETL) processes.
  • Work with Apache Spark and PySpark to process large datasets in a distributed computing environment.
  • Use Apache Airflow or other orchestration tools to schedule, monitor, and automate data pipeline workflows.
  • Design and implement real-time data streaming solutions using technologies like Apache Kafka or AWS Kinesis.
  • Work with open-source table formats like Apache Parquet, Apache Avro, or Delta Lake.
  • Work with relational databases (e.g., PostgreSQL, MySQL, SQL Server) for data storage, management, and optimization.
Requirements:
  • Experience working with open-source ETL tools such as Apache Nifi, Talend, or Pentaho.
  • Proficiency in Python for automating data processing tasks and working with libraries such as Pandas, Dask, PySpark.
  • Experience with Apache Spark and PySpark for distributed data processing.
  • Experience using Apache Airflow or similar tools for scheduling and automating data pipelines.
  • Strong experience with at least one relational database and a solid understanding of database concepts.


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