Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, common Data Engineer role, Bangalore metro, and broad stack increases candidate competition.
Core data engineering skills (AWS, Spark, Databricks) are highly transferable across industries.
Explicit 7+ years and mandatory Databricks/Spark/AWS/SQL expertise enforce strict shortlisting.
Job Description
Structured overview of role & requirementsAbout This Role
Own architecture, design, and growth of scalable data products and pipelines using Scala, Python, Spark within cloud environments while maintaining uptime SLAs.
Lead module development, provide business and technical solutions aligned with stakeholders’ data needs and product decisions.
Collaborate with product managers, data architects, and engineers to implement Lakehouse architecture and optimize data platform including automation and cost efficiency.
Minimum Requirements
7+ years of data engineering experience building large-scale data pipelines.
Strong hands-on experience with AWS (S3, EMR, EC2), Databricks, Spark/PySpark, Python, SQL, and data integration tools such as Airflow.
Bachelor's degree in Computer Science, Information Systems, Software or related technical field, or equivalent work experience.
Work Location: Bangalore, India (explicitly mentioned).
Ideal Candidate Profile
Experienced in designing and maintaining large-scale distributed data systems with strong focus on performance and reliability.
Able to understand and translate business use cases into scalable technical data solutions, engaging with diverse cross-functional teams.
Experience working in Agile/Scrum environments with test-first development and infrastructure as code practices.