Data Engineer
Full Time
full-time
8 Sep 2025
Verified by Turrior
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
81 / 100
Offer value
The role emphasizes advanced data engineering practices and offers substantial collaborative opportunities with team dynamics.
- Role focusing on advanced data management and engineering.
- Strong potential for collaborative team initiatives.
- Develop expertise in significant data processes.
Pros
- Involvement in critical data migration and processing projects.
- Opportunities for professional enrichment and skill development.
- Collaborative work environment fostering innovation.
Cons
- Expectations may lead to high worker intensity.
- Continuous adaptation necessary due to evolving tech.
- Involves potential over-time work during project deployments.
Who it's for
Mid-Senior • On-site in Bengaluru
Good fit
- Mid-level data engineers.
- Candidates with extensive experience in data management tools.
- Individuals seeking challenging data environments.
Not recommended for
- New candidates without data engineering background.
- Job seekers who prefer to work solo.
- Those who are resistant to evolving technologies.
Motivation fit
Desire to enhance data governance and quality practices.Keen interest in developing cloud-based data solutions.Willingness to take on leadership roles within teams.
Key skills
Snowflake Data WarehouseETL and data integrationData modeling best practicesCollaborative project management
Score: 81/100 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 : 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 migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting and optimizing existing data workflows to enhance performance and reliability. 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. - Continuously evaluate and improve data processes to ensure efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Good To Have Skills: Experience with Apache Spark and data warehousing solutions. - Strong understanding of data modeling and database design principles. - Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. - Experience in programming languages such as Python or Scala for data processing. Additional Information: - The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform. - This position is based at our Bengaluru 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 : Databricks Unified Data Analytics Platform
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 migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting and optimizing existing data workflows to enhance performance and reliability. 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. - Continuously evaluate and improve data processes to ensure efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Good To Have Skills: Experience with Apache Spark and data warehousing solutions. - Strong understanding of data modeling and database design principles. - Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. - Experience in programming languages such as Python or Scala for data processing. Additional Information: - The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform. - This position is based at our Bengaluru office. - A 15 years full time education is required.
