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Inferenz Tech
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Senior Data Engineer (Databricks)

Senior Data Engineer (Databricks)

Inferenz Tech

5 - 10 years

9 - 10 Lacs

pune ahmedabad

Posted:None| Platform:

Apply

Skills Required

computer science data validation analytical machine learning scala data quality information technology sql python data architecture

Work Mode

Work from Office

Job Type

Full Time

Job Description

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+ years
in 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 (
  Python
  or
  Scala
  )
- Integration with
  Azure Data Factory
  or
  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.

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