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Strong Tier-1 brand, mid-level Data Engineer title, and metro hiring drive high applicant competition.
Technical data engineering skills are broadly transferable across industries though consultancy experience increases fit sensitivity.
Explicit five-year minimum and mandatory data engineering, cloud, and leadership skills increase shortlisting strictness.
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Lead design and implementation of comprehensive data architecture strategies including data models, ETL/ELT pipelines, data warehouses, and data lakes.
Ensure compliance with data governance and security policies while collaborating with business stakeholders to translate requirements into technical solutions.
Manage and mentor a team to deliver quality data engineering solutions, oversee project planning, budgeting, execution, and foster data-driven decision making.
Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, or related field.
At least 5 years of relevant work experience in data engineering or a related domain.
Proficiency in SQL, programming languages such as Python, Java, or Scala, and familiarity with cloud services (AWS, Azure, GCP).
Ability to travel up to 60% as required.
Experienced in managing end-to-end data engineering projects including architecture, data flow design, and pipeline development in cloud environments.
Capable of leading and mentoring a team with a focus on quality delivery and professional development.
Skilled at collaborating with business stakeholders to understand and transform data needs into scalable technical solutions while maintaining governance standards.