Senior Associate Data Engineer

Knowledge, Skills and Abilities Required

• Advanced SQL: Strong proficiency in complex SQL queries, stored procedures, query optimization, performance tuning, and database management.
• Python: Hands-on experience in Python for data processing, data validation, automation, scripting, and data transformation.
• ETL & Data Warehousing: Strong understanding of ETL processes, data warehousing concepts, relational database architecture, and hands-on experience with SQL Server or comparable relational databases.
• Cloud Technologies: Working knowledge of cloud platforms, preferably AWS (EC2, RDS, CloudWatch).
• Data Modeling & Architecture: Expertise in relational data modeling, schema design, database design, and scalable data pipeline architecture.
• Solution Design: Ability to independently scope requirements, design technical solutions, and make architecture decisions in ambiguous environments.
• Version Control & CI/CD: Experience with Git, CI/CD workflows, and preferably GitLab.
• Project & Stakeholder Management: Experience coordinating projects, managing resources, prioritizing tasks, and collaborating with multiple stakeholders.
• Technical Leadership: Ability to mentor junior team members, conduct quality reviews, and ensure accuracy of technical deliverables.
• Analytical & Problem-Solving Skills: Strong troubleshooting, root cause analysis, attention to detail, and commitment to data quality.
• Organizational Skills: Strong planning, prioritization, time management, communication, and adaptability.

Good-to-Have Skills (Not Mandatory)

• Experience in SaaS domain, financial metrics, or P&L analysis.
• Exposure to benchmarking, cohort analysis, or survey-based datasets.
• Familiarity with PHP, JavaScript, or React.js for full-stack development.
• Exposure to LLM integration or API integration.