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High—Tier-1 brand, mid-level popular Data Engineer role, metro Hyderabad, broad AWS/PySpark skillset.
Medium—skills transferable across industries, but finance context and specific AWS/datapipeline needs increase fit sensitivity.
High—explicit 5–8 years plus many mandatory AWS, ETL, PySpark and SQL requirements.
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Build and maintain scalable data pipelines and efficient ETL processes to support analytics and business intelligence initiatives.
Design, develop, troubleshoot, and optimize database systems and big data integration from diverse sources for decision-making.
Lead solution development phases, collaborate with internal clients, ensure code quality, and provide training on tools and data sources.
Minimum 5 years of relevant work experience, including at least 2 years in designing and maintaining data pipelines, ETL processes, and database architectures.
Bachelor's or Master's degree in Computer Science, Information Technology, or related field (e.g., B.E., B.Tech., BCA, MCA).
Proficiency in SQL, Python, and experience with AWS or similar cloud data platforms.
Location: Hyderabad, Telangana, India (based at Vanguard’s India office).
Experienced in building reliable, scalable, and observable data engineering systems with strong problem-solving capabilities focused on data quality.
Familiar with DevOps, continuous delivery pipelines, Event Driven Architecture, and AWS technologies including Glue, Lambda, and PySpark.
Comfortable working in collaborative agile teams and utilizing AI-assisted engineering tools to enhance developer productivity and code quality.