Senior Data Engineer Lead

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)

• Bachelors Degree in Computer Science, Data Engineering, Information Systems, or related field.
• 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.