Senior Data Engineer Data Engineering

About the Role

As a Senior Data Engineer (L2), you will:

• Design, build, and maintain scalable ETL/ELT pipelines across cloud and big data platforms. Contribute to architectural discussions by translating business needs into data solutions spanning ingestion, transformation, and consumption layers.
• Work closely with solutioning and pre-sales teams for technical evaluations and client-facing discussions. Lead squads of L0/L1 engineersensuring delivery quality, mentoring, and guiding career growth. Develop cloud-native data engineering solutions using Python, SQL, PySpark, and modern data frameworks.
• Ensure data reliability, performance, and maintainability across the pipeline lifecyclefrom development to deployment. Support long-term ODC/T&M projects by demonstrating expertise during technical discussions and interviews. Integrate emerging GenAI tools where applicable to enhance data enrichment, automation, and transformations.

What We Like to See in You

• Strong hands-on expertise in cloud ecosystems (Azure / AWS / GCP). Excellent Python programming skills with data engineering libraries and frameworks. Advanced SQL capabilities including window functions, CTEs, and performance tuning. Solid understanding of distributed processing using Spark/PySpark.
• Experience designing and implementing scalable ETL/ELT workflows. Good understanding of data modeling concepts (dimensional, star, snowflake). Familiarity with GenAI/LLM-based integration for data workflows. Experience working with Git, CI/CD, and Agile delivery frameworks. Strong communication skills for interacting with clients, stakeholders, and internal teams.

Preferred Qualifications

Demonstrated experience in leading technical teams or delivery squads. Prior involvement in architecture and solution design for data engineering programs. Certifications in cloud or data engineering (Azure DP-203, AWS Data Analytics, etc.). Knowledge of data governance, quality, and compliance frameworks. Exposure to large-scale cloud data migrations or modernization initiatives.

What Youll Bring to the Table

• A strong engineering mindset with a problem-solving approach. The ability to mentor, influence, and guide teams effectively.
• A passion for combining cloud, data engineering, and AI-driven solutions.
• Adaptability and ownership to drive delivery excellence. Commitment to building robust, production-ready data systems.

Core Benefits You;ll Gain

• Opportunity to work at the intersection of Data Engineering, Cloud, and Generative AI. Hands-on exposure to modern data stacks and emerging AI technologies.
• Collaboration with experts across Data, AI/ML, and cloud practices.
• Access to structured learning, certifications, and leadership mentoring. Competitive compensation with fast-track career growth and visibility.