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Data Engineer

Full Time
full-time
12 Nov 2025
Verified by Turrior

Content + Source + Freshness • 17 Dec 2025 • 95% confidence

75 / 100

Offer value

Moderate value reflected in a solid employer brand and demand for data engineering skills, though experience requirements are quite specific.

  • Prominent demand for data engineering skills
  • Working with innovative data solutions
  • Potential for upward mobility in career paths
  • Requires specific experience in Databricks
Pros
  • Strong demand for data engineers in the current job market
  • Opportunity to work with cutting-edge data technologies
  • Potential for career advancement within a reputable company
Cons
  • Requires niche skills with specific experience in Databricks
  • Intense focus on technical competence which may deter some candidates
  • Limited information on salary range

Who it's for

Mid-Level / Senior • On-site (Hyderabad office)

Good fit
  • Mid-career data engineers
  • Tech professionals with a knack for data solutions
  • Collaborative team players
Not recommended for
  • New graduates or non-technical applicants
  • Candidates without relevant data engineering experience
  • Those averse to working in traditional office environments

Motivation fit

Interest in developing data pipelines and ETL processesDesire to work in a fast-paced technological environmentAmbition to solve complex data-related problems

Key skills

Databricks Unified Data Analytics PlatformETL processesData quality assuranceCollaboration with cross-functional teams
Score: 75/100 AI verified analysis

About the job

Project Role : Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Databricks Unified Data Analytics Platform
Good to have skills : Python (Programming Language), Data Warehouse ETL Testing
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with team members to enhance data workflows and contribute to the overall efficiency of data management within the organization. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Assist in the optimization of data pipelines to improve performance and reliability. - Collaborate with cross-functional teams to gather requirements and deliver data solutions that meet business needs. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Good To Have Skills: Experience with Python (Programming Language), Data Warehouse ETL Testing. - Strong understanding of data modeling and database design principles. - Experience with data integration tools and techniques. - Familiarity with cloud-based data storage solutions and architectures. Additional Information: - The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform. - This position is based at our Hyderabad office. - A 15 years full time education is required.

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