Senior Data Engineer

About the Role :

We are looking for a highly skilled Senior Data Engineer to architect, build, and optimize our data infrastructure. You will be responsible for designing scalable data pipelines, maintaining enterprise-grade databases, ensuring data reliability, and enabling advanced analytics across the organization. Your work will serve as the technical backbone for data-driven decision‑making.

Key Responsibilities

• Architect, design, and maintain scalable relational and distributed databases (MS SQL Server, MySQL, PostgreSQL).
• Build and optimize ETL / ELT pipelines for structured and unstructured data.
• Develop and manage data warehouses and data lake solutions for analytics workloads.
• Implement data ingestion frameworks and automate data workflows using SSIS, Azure Data Factory, or similar tools.
• Write robust, optimized SQL queries, scripts, and stored procedures for performance-sensitive workloads.
• Collaborate with Data Analysts and Business Teams to deliver analytical data models, marts, and datasets.
• Implement data quality checks, governance practices, and ensure data integrity and security.
• Monitor system performance and perform troubleshooting, performance tuning, and capacity planning.
• Maintain documentation and enforce best practices in data architecture and DevOps / data engineering cycles.
• Mentor junior team members and contribute to building a scalable data engineering culture.

Required Qualifications

• Bachelor’s or Master’s in Computer Science, Data Engineering, Information Systems, or a related field.
• 5+ years of proven experience as a Data Engineer, Database Developer, or similar role.
• Strong command of SQL and RDBMS tuning, indexing, partitioning, and optimization.
• Hands‑on experience with ETL tools (SSIS, Azure Data Factory, Informatica, etc.).
• Experience with data warehousing concepts, dimensional modeling, and OLAP systems.
• Familiarity with cloud platforms (Azure preferred; AWS / GCP is a plus).
• Good understanding of distributed data systems, streaming (Kafka / Spark) is a plus.
• Experience collaborating with BI teams for KPI dashboards and analytics.
• Strong analytical mindset, communication, and problem-solving skills.

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