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High — common Data Engineer role, Bangalore metro, mid-level experience, and broad skill requirements increase competition.
Low — core data engineering and cloud skills are highly transferable across industries.
High — explicit 3–4+ years requirement and mandatory Snowflake, Databricks, Kafka, cloud, and DevOps skills.
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Build and optimize scalable data pipelines across SQL/NoSQL, streaming, and batch environments to support business intelligence and operational decision making.
Collaborate with product engineering and analytics teams to design data architectures and transform complex data into actionable insights.
Support data infrastructure reliability, develop engineering processes, and mentor engineers to ensure quality and speed of data solutions delivery.
Bachelor’s degree with 4+ years, Master’s with 3+ years, PhD, or equivalent practical experience in data engineering or related fields.
Strong experience in data engineering, data modeling, distributed data processing, and advanced proficiency in at least one core language (Python, SQL, or Java).
Experience with data warehouses and lakes (Snowflake, Databricks) and cloud-native/DevOps technologies (Kubernetes, Terraform, ArgoCD, AWS CodeBuild, OKTA, or OAuth).
Work Model: Hybrid location in Kadubeesanahalli, Bengaluru.
Experienced in managing end-to-end data engineering projects and working across the full Software Development Life Cycle (SDLC) in agile environments.
Skilled at stakeholder collaboration and translating business needs into technical data roadmaps and solutions.
Capable of mentoring peers and influencing technical direction within a team focused on data platform scalability and reliability.