Fiftyfive Technologies

Lead Data Engineer

Gurugram, India Indore, India
AWS Azure GCP Python SQL Machine Learning AI
Description

Lead Data Engineer

Location: Jaipur, India; Gurugram, India; Indore, India; Jaipur, India

Department: Artificial Intelligence

Experience: 10+

Lead Data Engineer


Job Summary

We are looking for an experienced Data Engineer Lead to design, build, and optimize scalable data pipelines and architectures. The ideal candidate will lead a team of data engineers, drive best practices, and ensure high-quality, reliable data solutions that support business analytics and decision-making.

Key Responsibilities

  • Lead the design and development of scalable, high-performance data pipelines and ETL/ELT processes
  • Architect and manage data platforms, data lakes, and data warehouses
  • Collaborate with cross-functional teams including Data Science, Analytics, and Product
  • Ensure data quality, integrity, security, and governance standards are maintained
  • Mentor and guide junior data engineers, conducting code reviews and enforcing best practices
  • Optimize data workflows for performance, scalability, and cost efficiency
  • Manage cloud-based data infrastructure (AWS, Azure, or GCP)
  • Troubleshoot complex data issues and provide timely resolutions
  • Stay updated with emerging technologies and recommend improvements

Required Skills & Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
  • 8+ years of experience in data engineering or related roles
  • Strong expertise in SQL and programming languages such as Python, Scala, or Java
  • Hands-on experience with big data technologies (Spark, Hadoop, Kafka, etc.)
  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Proficiency in building and maintaining data pipelines and ETL tools (Airflow, dbt, etc.)
  • Experience with data warehousing solutions (Snowflake, Redshift, BigQuery)
  • Strong understanding of data modeling and database design
  • Familiarity with CI/CD pipelines and DevOps practices

Preferred Qualifications

  • Experience leading or managing a team
  • Knowledge of data governance, security, and compliance standards
  • Experience working in Agile/Scrum environments
  • Exposure to real-time data processing and streaming architectures
  • Certifications in cloud platforms or data engineering

Fiftyfive Technologies
Fiftyfive Technologies

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