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Mid-level Data Engineer in Bangalore with broad Azure/Databricks skillset attracts strong applicant competition.
Core data engineering skills are broadly transferable across industries with minimal domain-specific constraints.
Explicit 4+ years plus mandatory Azure, Databricks, Spark, and data platform experience increases filtering strictness.
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Develop and deliver reusable data solutions on Haleon's Enterprise Data & Analytics Platform using latest data platform technologies.
Ensure timely delivery of projects aligning with stakeholder expectations while collaborating with internal teams and 3rd party providers.
Maintain governance, manage risks, and contribute to technical architecture in an agile and DevOps-driven environment.
Minimum 4 years of data engineering experience with strong coding skills in Python, SQL, Scala or similar.
Experience with Azure data and analytics stack including Databricks, Data Factory, SQL DW, Power BI, and Power Apps.
Bachelor's or Master's degree in Computer Science, Engineering, Data Science or equivalent experience.
Experience with Agile delivery frameworks (e.g., SAFe, Jira, Azure DevOps) and enterprise data tools (e.g., Ataccama, Talend, Collibra, Snowflake).
Proven ability to work hands-on and deliver complex distributed data engineering projects independently.
Strong background in big data processing, especially Spark, Databricks, Delta Lake applied to data science and ML problems.
Effective communicator capable of translating complex technical concepts to non-technical stakeholders and collaborating cross-functionally.