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Senior Data Engineer

2 weeks ago

Ahmedabad, Gujarat, India Inferenz Full time US$ 1,50,000 - US$ 2,00,000 per year

Location: Ahmedabad, Pune

Required Experience: 5+ Years

Preferred Immediate Joiner

We are seeking a Senior Data Engineer with deep expertise in Databricks to design, develop, and optimize scalable data solutions. This role will be central to advancing our data engineering capabilities, with opportunities to work on cutting-edge technologies including Generative AI, advanced analytics, and cloud-native architectures.

You will collaborate with cross-functional teams, mentor junior engineers, and help shape the future of our data platform.

Key Responsibilities:

  • Data Architecture & Development:Lead the design, development, and optimization of scalable, secure, and high-performance data solutions in Databricks.
  • ETL/ELT Pipeline Engineering:Build and maintain robust pipelines, integrating Databricks with Azure Data Factory (or AWS Glue), ensuring reliability and efficiency.
  • Advanced Analytics & AI Integration:Implement machine learning models and Generative AI-powered solutions to deliver business innovation.
  • Collaboration:Partner with data scientists, analysts, and business teams to translate requirements into technical designs and deliverables.
  • Data Quality & Governance:Enforce best practices for data validation, governance, and security to ensure trust and compliance.
  • Technical Leadership:Mentor junior engineers, conduct code reviews, and foster a culture of continuous learning.
  • Innovation & Research:Stay current with the latest trends in Databricks, Azure Data Factory, cloud platforms, and AI/ML to recommend and implement improvements.

Required Skills & Qualifications:

  • Bachelor's or master's degree in computer science, Information Technology, or a related field.
  • 5+ yearsin data engineering, with at least 3 years of hands-on experience in
  • Proven expertise in:
  • Data modelling, Data Lakehouse architectures, and ELT/ETL processes
  • SQL and at least one programming language (Pythonor Scala)
  • Integration with Azure Data Factoryor AWS Glue
  • Strong understanding of cloud platforms (Azure preferred) and containerization (Docker).
  • Excellent analytical, problem-solving, and communication skills.
  • Demonstrated experience mentoring or leading technical team.

Good To Have:

  • Experience with Generative AI technologies and their applications.
  • Familiarity with other cloud platforms, such as AWS or GCP.
  • Knowledge of data governance frameworks and tools.

Perks:

  • Flexible Timings

  • 5 Days Working

  • Healthy Environment

  • Celebration

  • Learn and Grow

  • Build the Community

  • Medical Insurance Benefit