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Tier-1 brand, Bangalore metro, generalist data engineer title, and broad tech requirements drive high competition.
Enterprise ERP and SAP familiarity increases domain specificity, reducing cross-industry transferability.
Specific big-data, ETL, Azure and SAP skills required, but no explicit years filter.
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Develop and support creation of structured data models and scalable ETL packages for business analytics needs across management, operational, predictive, and data science capabilities.
Participate in designing database schemas, data migrations (involving systems like MS Dynamics, Oracle, SAP), and validate data transformations to ensure data accuracy.
Assist in scoping, requirements definition, prioritization, and documentation for data engineering and migration activities, recommending improvements to data queries and models.
Bachelor's degree or equivalent in computer science, software engineering, information technology, or related field.
Moderate experience in data engineering and mining in fast-paced environments with familiarity in big data tools (Hadoop, Cassandra, Storm) and databases (SAP, SQL, MySQL, Microsoft SQL).
Knowledge of ETL tools, Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP, and programming/scripting languages (Perl, bash, Shell scripting, Python, .NET).
Work Experience Required: Moderate level experience in data engineering and related technologies.
Experienced in building modern data analytics solutions handling large, multi-terabyte datasets and designing scalable, secure data systems.
Able to convert complex requirements into structured data models and effective ETL processes with an analytical mindset and business acumen.
Comfortable working in hybrid environments and collaborating across multiple stakeholders to implement data engineering solutions and enhancements.