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Data Pipeline Architect Job Opening In India, India – Now Hiring Impetus


Job description

Job Description


Year of Experience - 1 to 3 years


Location - Indore, Pune, Noida, Hyderabad, Bangalore, Gurugram


Required Skills:

  • Python Programming: Strong ability to write clean and efficient code.
  • Spark SQL: Good understanding of Spark SQL for distributed data processing.
  • Data Processing: Experience with large datasets and structured data manipulation.
  • SQL Fundamentals: Ability to write queries and optimize database performance.
  • Problem-Solving: Analytical mindset to debug and optimize workflows.


Preferred Skills:

  • AWS Cloud Services: Familiarity with S3, Redshift, Lambda, EMR is an advantage.
  • ETL Development: Understanding of ETL processes and data engineering principles.
  • Version Control: Experience using Git for collaborative development.
  • Big Data Tools: Exposure to Hive, PySpark, or similar technologies.


Roles & Responsibilities


  • Develop and optimize Python scripts for data processing and automation.
  • Write efficient Spark SQL queries for handling large-scale structured data.
  • Assist in ETL pipeline development and maintenance.
  • Support data validation and integrity checks across systems.
  • Collaborate with teams to implement cloud-based solutions (AWS preferred).
  • Optimize performance of data queries and workflows.
  • Troubleshoot and debug issues in existing applications.
  • Document processes and ensure best practices in coding and data handling.


Please share resume at sonali.mangore@impetus.com

Required Skill Profession

Computer Occupations


  • Job Details

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