Senior Data Engineer

Job Title:

Experience Level:

Locations

About the Role:

Senior Data Engineer (L2)

Key Responsibilities:

• Lead the solution architecture and design of modern data platforms, bringing together data engineering, cloud, and GenAI capabilities.
• Translate business requirements into technical solution designs that span ingestion, transformation, and consumption layers.
• Take ownership of squad leadership, ensuring delivery velocity, code quality, and alignment with architecture best practices.
• Mentor L0s and L1s, offering technical direction and career guidance.
• Collaborate with pre-sales or solutioning teams to support client-facing discussions when required.
• Deliver production-grade ETL/ELT pipelines and cloud-native data solutions using specific technologies such as Azure, AWS, GCP, Python, SQL, PySpark, etc.
• Own data pipeline lifecyclefrom development to deploymentensuring robustness, performance, and maintainability.
• Engage with clients during interviews to demonstrate deep expertise and suitability for specific roles in long-term ODC/T&M engagements.
• Act as a specialist for targeted technologies where the organization has proven market traction.

Required Skills:

• Cloud Expertise

  : Strong hands-on experience in one or more cloud ecosystems (Azure/AWS/GCP).

• Programming

  : Advanced knowledge of Python and experience with data engineering libraries and frameworks.

• SQL Mastery

  : Proficient in advanced SQL, including CTEs, window functions, and tuning.

• Big Data

  : Working experience with Spark/PySpark for distributed data processing.

• ETL/ELT Design

  : Ability to create scalable data workflows and manage data movement efficiently.

• Data Architecture

  : Knowledge of data modeling (dimensional/star/snowflake) and storage best practices.

• Generative AI

  : Familiarity with integrating GenAI or LLM tools for data transformation, enrichment, or automation.

• DevOps & Version Control

  : Experience with Git, CI/CD pipelines, and agile delivery frameworks.

Preferred Qualifications:

• Demonstrate experience in leading technical teams or squads.
• Prior exposure to solutioning and architectural design in large-scale data programs.
• Strong client communication and stakeholder management abilities.
• Certifications in cloud/data engineering platforms (e.g., Azure Data Engineer, AWS Data Analytics).
• Understanding of data governance, security, and compliance (e.g., GDPR, HIPAA).

What We Offer:

• Opportunity to work in both solution-oriented and delivery-focused environments.
• Leadership and architecture ownership in Data & AI initiatives.
• Exposure to cutting-edge technologies, including Generative AI, cloud platforms, and modern data stacks.
• A culture of innovation, mentorship, and continuous learning.
• Competitive compensation and fast-track career growth opportunities.