Data Engineer
Full Time
full-time
30 Sep 2025
Verified by Turrior
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
80 / 100
Offer value
This position provides excellent prospects for progression in data engineering and a focus on data-driven solutions.
- High demand for data engineering skills, especially in ETL.
- Engagement in impactful data-driven projects.
- Mentoring opportunities and collaborative work environments.
Pros
- Strong demand for data engineering skills in the market.
- Possibility to influence decision-making through data insights.
- Engagement in collaborative projects and mentoring opportunities.
Cons
- Requires significant experience in data engineering techniques.
- Fast-paced environment may lead to challenges in work-life balance.
- Potentially high expectations for data quality and performance.
Who it's for
Mid-Senior • On-site
Good fit
- Experienced data engineers with expertise in data processing.
- Analytical minds passionate about data solutions.
- Candidates eager to contribute to data-driven decision-making.
Not recommended for
- Individuals without relevant data engineering experience.
- Those uninterested in collaborative environments.
- Candidates preferring less technical or data-focused roles.
Motivation fit
Desire to expand data engineering knowledge and skills.Interest in solving complex data problems.Readiness to work in a collaborative data environment.
Key skills
PySparkData IntegrationETL ProcessesData Quality Management
Score: 80/100 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 : PySpark
Good to have skills : NA
Minimum 7.5 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, contributing to the overall efficiency and reliability of data management within the organization. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in data engineering. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark. - Strong understanding of data pipeline architecture and design. - Experience with ETL processes and data integration techniques. - Familiarity with data warehousing concepts and technologies. - Knowledge of data quality frameworks and best practices. Additional Information: - The candidate should have minimum 7.5 years of experience in PySpark. - This position is based at our Pune office. - A 15 years full time education is required.
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 : PySpark
Good to have skills : NA
Minimum 7.5 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, contributing to the overall efficiency and reliability of data management within the organization. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in data engineering. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark. - Strong understanding of data pipeline architecture and design. - Experience with ETL processes and data integration techniques. - Familiarity with data warehousing concepts and technologies. - Knowledge of data quality frameworks and best practices. Additional Information: - The candidate should have minimum 7.5 years of experience in PySpark. - This position is based at our Pune office. - A 15 years full time education is required.
