Senior Data Engineer Lead

Job Title: Senior Data Engineer

Location: Bagmane Constellation Business Park, Marathahalli, Bangalore

About the Role

We are looking for an experienced Data Engineer to join the HR Technology team. The selected candidate will analyze, modernize, and optimize internal HR applications focused on employee shift scheduling, location tracking, and workforce planning. The role will drive automation, improve data workflows, and enhance operational scalability using the AWS ecosystem.

Key Responsibilities

• Analyze existing HR applications and workflows related to scheduling, shift management, and location tracking.
• Identify process gaps, inefficiencies, and automation opportunities.
• Design and implement scalable data pipelines for HR operations and analytics.
• Rewrite and optimize ETL workflows ensuring expected performance and reliability.
• Lead the lift-and-shift of legacy Redshift clusters to modern serverless infrastructure.
• Develop and maintain data models, ETL workflows, and data lakes/warehouses for HR data.
• Perform data parity validation, access permission verification, and functionality benchmarking across legacy vs. new infrastructure.
• Ensure data quality, governance, and security compliance across all HR systems.
• Work closely with HR stakeholders, software engineering teams, and business analysts for end-to-end solution delivery.
• Continually adopt new AWS capabilities to drive system modernization and cost optimization.

Must-Have Skills (Mandatory)

• 6+ years of experience in Data Engineering / ETL / Backend Engineering.
• Expertise in SQL, Python or Scala for data transformation.
• Strong hands-on experience with AWS services: Glue, Redshift, Athena, Lambda, S3, Step Functions.
• Solid understanding of data modeling, schema design, workflow automation.
• Experience in building and maintaining large-scale data pipelines and data lakes.
• Excellent analytical, problem-solving, and communication skills.

Preferred Skills

• 8+ years of experience working on HR or workforce management systems.
• Experience with workflow optimization and cloud cost reduction.
• Knowledge of data security and compliance standards for HR systems.
• Exposure to BI tools like QuickSight, Tableau, or Power BI.

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