Data Engineer
Full Time
full-time
3 Nov 2025
Verified by Turrior
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
85 / 100
Offer value
High value attributed to the innovative work environment, competitive compensation, and clear opportunities for career advancements in data science.
- High demand for skilled data engineers.
- Competitive compensation and opportunities for advancement.
- Work with innovative cloud-based technology.
- Challenges with continuous adaptation and teamwork.
Pros
- Strong market demand for data engineering skills, especially in cloud services.
- Competitive salary package and benefits.
- Opportunity to work with cutting-edge technologies like Databricks.
Cons
- Can be highly competitive requiring substantial prior experience.
- Need to continuously learn and adapt to new data solutions.
- Complexity of data models may be challenging.
Who it's for
Senior / Lead • Hybrid / office with team collaboration.
Good fit
- Mid to senior-level data engineers.
- Candidates looking to advance in data technology.
- Professionals interested in leading projects.
Not recommended for
- New graduates or those with little experience in data engineering.
- Individuals resistant to team collaborations and leadership roles.
- Applicants not committed to ongoing education in data technologies.
Motivation fit
Desire to work on impactful data projects.Interest in improving data processes and team dynamics.Willingness to mentor and develop junior talent in data science.
Key skills
Data modelingETL processesTeam collaborationData governance
Score: 85/100 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 their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of 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 enhance efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Good To Have Skills: Experience with Apache Spark. - Strong understanding of data modeling and database design principles. - Familiarity with cloud platforms such as AWS or Azure. - Experience in implementing data governance and data quality frameworks. 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 their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of 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 enhance efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Good To Have Skills: Experience with Apache Spark. - Strong understanding of data modeling and database design principles. - Familiarity with cloud platforms such as AWS or Azure. - Experience in implementing data governance and data quality frameworks. 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.
