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Strong employer brand, generic Data Engineer title, and metro Hyderabad location increase candidate competition.
Core data engineering skills transfer across industries, though financial-domain context moderately increases specificity.
Multiple mandatory technical skills (SQL, Spark, AWS, Airflow, CI/CD) increase screening rigor.
Build and own scalable enterprise data products and pipelines, focusing on performance optimization and cost management.
Ensure data quality, governance, and define/enforce data/API contracts in collaboration with business stakeholders.
Implement testing, CI/CD pipelines, and troubleshoot data platform issues to maintain reliable operations.
Bachelor’s degree in Computer Science, Engineering, or a related field.
Experience designing and building enterprise data pipelines and platforms.
Technical skills: SQL, PL/SQL, data modeling, AWS, relational/distributed databases, Python and/or Spark, data pipeline tools, Control-M or Airflow, BusinessObjects or similar BI tools, Git, CI/CD, observability, and monitoring.
Work Shift Timings: 2:00 PM - 11:00 PM IST
Experienced in integrating and partnering with Sales, Marketing, and business stakeholders for data-driven solutions.
Comfortable working in fast-paced, collaborative, outcome-driven environments with a mix of data engineers, software engineers, and analysts.
Proficient in designing enterprise-scale data platforms leveraging modern cloud technologies and AI-enabled workflows.