Senior Data Engineer

0 - 7 years

10 - 17 Lacs

Posted:21 hours ago| Platform: Indeed logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Job Title: Senior Data Engineer
Location: Gurugram, Haryana (Onsite)
Experience Required: 7+ Years

Job Overview

We are hiring a highly experienced Senior Data Engineer to join our data engineering team in Gurugram. This is a full-time onsite role for a motivated professional with deep expertise in building scalable data infrastructure and modern data pipelines.

Key Responsibilities

  • Design and build scalable batch and real-time data pipelines
  • Develop and manage data warehousing solutions using modern architectural patterns
  • Work with AWS Data Services including S3, Glue, Athena, EMR, Kinesis
  • Implement CDC (Change Data Capture) patterns and real-time data ingestion
  • Use and manage file formats such as Parquet, Delta Lake, Apache Iceberg, and Hudi
  • Handle stream processing using Apache Flink, Kafka Streams, or PySpark
  • Orchestrate workflows using Apache Airflow
  • Optimize data models for relational and NoSQL databases
  • Ensure robust data integration and maintain cloud-based data systems
  • Collaborate with cross-functional teams and manage stakeholders effectively

Required Skills & Qualifications

  • 7+ years of experience in Data Engineering
  • Strong understanding of Data Warehousing and Architectural Patterns
  • Proficiency in SQL and handling big data formats
  • Hands-on experience with AWS data tools
  • Solid knowledge of data streaming, workflow orchestration, and cloud data systems
  • Excellent communication and stakeholder management skills

Why Join Us?

  • Competitive Salary
  • Work with a forward-thinking team on cutting-edge data solutions
  • Opportunity to lead and make an impact on large-scale data initiatives

How to Apply

If this role aligns with your background and career goals, we’d love to hear from you.
Please submit your updated resume for further consideration.

Job Types: Full-time, Permanent

Pay: ₹1,000,000.00 - ₹1,700,000.00 per year

Benefits:

  • Health insurance
  • Provident Fund

Ability to commute/relocate:

  • Gurgaon, Haryana: Reliably commute or planning to relocate before starting work (Required)

Application Question(s):

  • Have you worked extensively with AWS Data Services such as S3, Glue, Athena, EMR, or Kinesis?
  • Are you proficient in working with file formats like Parquet, Delta Lake, Apache Iceberg, or Hudi?
  • Do you have hands-on experience in building scalable batch and real-time data pipelines?
  • Are you familiar with CDC (Change Data Capture) patterns and workflow orchestration tools like Apache Airflow?
  • Have you worked with stream processing tools such as Apache Flink, Kafka Streams, or PySpark?

Experience:

  • Data Engineering: 7 years (Required)

Work Location: In person

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