Data Engineer
Full Time
full-time
3 Nov 2025
Verified by Turrior
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
80 / 100
Offer value
The role has a high value due to its demand for expertise in data engineering and specific skills in Microsoft Azure Databricks, with excellent growth opportunities in a leading tech company.
- In-demand skills in data engineering
- Strong mentorship opportunities
- Influence on business decisions through data management
- Skill enhancement and growth in a tech-leading environment
Pros
- Strong demand for skills in data engineering and Azure Databricks
- Involvement in critical data solutions that impact business decisions
- Mentorship opportunities for experienced professionals
Cons
- High competition for skilled candidates in the data space
- Expectations for continuous learning and adaptation to new technologies
- Potential for high workloads depending on project demands
Who it's for
Mid to Senior Level • On-site
Good fit
- Experienced data engineers
- Professionals looking to lead in data projects
- Candidates ready for a challenging and impactful role
Not recommended for
- Entry-level candidates without data background
- Applicants seeking remote work options
- Individuals not interested in mentorship
Motivation fit
Desire to lead and mentor within a technical teamInterest in developing innovative data solutionsCommitment to continuous technical learning
Key skills
Data pipeline developmentETL processesCollaboration and mentorship
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 : Microsoft Azure Databricks
Good to have skills : NA
Minimum 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. - Continuously evaluate and improve data processes to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Databricks. - Good To Have Skills: Experience with data warehousing solutions. - Strong understanding of data modeling and database design principles. - Familiarity with data integration tools and techniques. - Experience in developing and maintaining data pipelines using various ETL tools. Additional Information: - The candidate should have minimum 5 years of experience in Microsoft Azure Databricks. - 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 : Microsoft Azure Databricks
Good to have skills : NA
Minimum 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. - Continuously evaluate and improve data processes to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Databricks. - Good To Have Skills: Experience with data warehousing solutions. - Strong understanding of data modeling and database design principles. - Familiarity with data integration tools and techniques. - Experience in developing and maintaining data pipelines using various ETL tools. Additional Information: - The candidate should have minimum 5 years of experience in Microsoft Azure Databricks. - This position is based at our Pune office. - A 15 years full time education is required.
