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Tier-1 brand, Bangalore location, and broad multi-cloud and big-data skillset amplify candidate competition.
Core data engineering skills transferable, but consulting and big-data managerial experience demand moderate industry-specific fit.
Mandatory 10+ years, Hadoop/Spark, cloud platform expertise and team leadership make filters highly strict.
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Lead and manage data engineering teams focusing on Azure and AWS platforms to drive data modernization and deliver client data engineering solutions.
Oversee design, development, and maintenance of data pipelines, data warehouses, and data integration strategies ensuring data quality, security, and performance optimization.
Mentor and develop team members, manage project delivery timelines and scopes, and collaborate with cross-functional teams and stakeholders to align data strategies with business objectives.
Bachelor's degree mandatory.
Minimum 10 years experience with Azure ADLS, Databricks, Data Flows, HDInsight, Azure Analysis Services, with mandatory experience in Hadoop and Spark.
Proven team management experience required.
Strong knowledge in Big Data frameworks, data extraction from various sources (flat files, XML, JSON, Parquet, RDBMS), and understanding of DW lifecycle including design documents and testing.
Experienced in managing complex data engineering projects using Azure and AWS cloud platforms and big data technologies.
Skilled in data pipeline tools such as Apache Airflow and Databricks and proficient in data architecture and warehouse performance tuning.
Able to lead data modernization initiatives and foster innovation while ensuring alignment with strategic business objectives.