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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level Data Engineer in Bangalore with broad Azure/Databricks skills is highly competitive.
Data engineering skills like Python, Spark, and Azure are broadly transferable across industries.
Mandatory 4+ years and specific Azure Databricks, Spark, Python skills increase shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Develop, integrate, and deliver reusable data solutions for the Enterprise Data & Analytics Platform using latest data platform technologies.
Manage end-to-end delivery of data engineering projects, ensuring timely completion and alignment with stakeholder expectations.
Collaborate with internal teams and third-party service providers to maintain quality and adherence to the overall platform architecture and governance.
Minimum Requirements
Minimum 4+ years experience in data engineering with strong coding skills in Python, SQL, and/or Scala.
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science or equivalent experience.
Proven experience with Azure data and analytics technologies (Databricks, Data Factory, SQL DW, Power BI, Power Apps).
Experience with Agile delivery frameworks and tools such as SAFe, Jira, Confluence, or Azure DevOps.
Ideal Candidate Profile
Hands-on engineer with proven track record of delivering scalable enterprise analytics solutions using big data technologies like Spark, Databricks, and Delta Lake.
Experienced working within cross-functional teams in distributed environments managing complex projects with DevOps and agile methodologies.
Ability to articulate technical concepts to non-technical stakeholders and collaborate across IT functions (security, compliance, infrastructure).