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Tier-1 brand and Bangalore metro raise applicant density, but seniority and consulting specialization limit applicants.
Consulting-focused pre-sales and data-lake expertise reduce transferability across unrelated industries.
Explicit 8-year requirement plus mandatory cloud, Spark, ETL, leadership, and pre-sales skills enforce strict shortlisting.
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Lead design and implementation of large-scale cloud-based data engineering solutions including data lakes.
Drive pre-sales activities including client engagement, solution design, and technical proposal development.
Manage and mentor data engineering teams ensuring successful project delivery aligned with client objectives.
Minimum 5 years hands-on experience in data engineering and cloud-based solutions.
Strong expertise in AWS, Azure, or Google Cloud Platform and designing data lakes.
Experience with Apache Spark, Databricks, AWS Glue, Azure Data Factory or similar ETL tools.
Work Experience Required: 8 years (explicitly mentioned in header).
Experienced in leading technical teams and managing end-to-end project delivery from pre-sales to implementation.
Proficient in modern cloud data architectures including serverless technologies and data governance frameworks.
Strong background in multiple cloud platforms and diverse ETL/data processing tools showing adaptability and technical breadth.