Chief Data Integration Specialist

6 days ago

Noida, Uttar Pradesh, India beBeeETLPipelineExpert Full time ₹ 9,00,000 - ₹ 12,00,000
Job Overview

We are seeking a highly skilled and experienced Senior ETL Developer with strong expertise in PySpark, Python, along with a solid background in ETL (Extract, Transform, Load) processes across relational databases and cloud platforms.

The ideal candidate will have a minimum of 5 years of hands-on experience developing scalable data pipelines and ETL workflows using modern tools and frameworks.


Key Responsibilities:
  • Design, develop, and maintain ETL pipelines using PySpark and Python for large-scale data processing.
  • Implement validation logic as part of ETL workflows.
  • Work with relational databases (e.g., Oracle, PostgreSQL, SQL Server) to extract, transform, and load data efficiently.
  • Develop and optimize data pipelines on cloud platforms (AWS) using Spark-based frameworks (Data Frames).
  • Collaborate with data architects, analysts, and other stakeholders to understand requirements and deliver reliable data solutions.

Requirements:
  • 5+ years of experience in ETL development with a strong foundation in data integration, transformation, and loading.
  • Proven experience writing efficient code in PySpark and Python, especially for large-scale data sets.
  • Hands-on experience with creating ETL workflows.
  • Strong experience working with relational databases and writing complex SQL queries.
  • Solid understanding of data modeling, performance tuning, and best practices in ETL design.
  • Experience with cloud-based data processing using Spark on AWS.

Bonus Points:
  • Experience with data orchestration tools like Apache Airflow or similar.
  • Familiarity with data governance and security best practices.
  • Experience in Agile/Scrum environments.


Why You'll Love This Job:

This role offers the opportunity to work on cutting-edge data projects, collaborate with talented professionals, and grow your skills in a dynamic environment.

As an ETL Developer, you will be responsible for designing, developing, and maintaining large-scale data pipelines using PySpark and Python.

Our team is passionate about delivering high-quality solutions that meet business needs, and we're looking for someone who shares our commitment to excellence.

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