Leads the design, development, optimization, and support of ETL/ELT pipelines, cloud data warehouses, data models, and advanced SQL solutions. Partners with analysts, data scientists, and stakeholders to deliver reliable datasets, while implementing testing, documentation, CI/CD, monitoring, and incident resolution practices. Mentors associate engineers and provides technical leadership across data engineering initiatives.
Duties & Responsibilities:
- Lead the design, development, and optimization of ETL/ELT pipelines and workflows
- Write, tune, and optimize advanced SQL queries for large-scale data processing
- Build and maintain data warehouses and data models (relational, dimensional, star schema)
- Translate business requirements into robust, well-architected, and reusable data solutions
- Partner with analysts, data scientists, and stakeholders to deliver trusted, actionable datasets
- Implement and maintain unit tests, integration tests, and validation frameworks to ensure pipeline reliability
- Document workflows, and design decisions to support knowledge sharing and operational continuity
- Apply coding standards, CI/CD practices, version control, and peer code reviews to ensure high-quality deliverables
- Proactively monitor, optimize, and troubleshoot pipelines for performance, scalability, and cost efficiency
- Support deployments and handle post-production monitoring and incident resolution
- Mentor associate engineers, providing technical guidance and feedback
Requirements
Basic Qualifications:
- Bachelor’s degree in computer science, Information Systems, Engineering, or a related field
- 4–7 years of hands-on experience in data engineering or related fields
- Expertise in writing complex SQL queries, optimizing, using advanced functionals and turning the performance on cloud data warehouse environment.
- Strong experience with data warehousing concepts, design, and implementation
- Minimum 3 years of hands-on experience with Snowflake or modern cloud data warehouse
- Minimum 2 years of hands-on experience in data modeling
- Minimum 1 year of hands-on Python development (ETL/ELT scripting, OOP, automation)
- Strong knowledge of at least one major cloud platform (AWS, Azure, or GCP)
- Experience with orchestration tools (e.g., Airflow, ADF, Luigi) for workflow management
- Demonstrated ability to lead and mentor teams while managing multiple priorities
- Strong communication and stakeholder management skills
- Strong hands-on experience with data warehousing concepts, design, and implementation
Preferred Qualifications:
- Hands-on experience with DBT (Data Build Tool) for data transformations
- Familiarity with DevOps and CI/CD best practices in data engineering
- Exposure with real-time/streaming platforms (Kafka, Spark Streaming, Flink)
- Exposure to the e-commerce domain or large-scale B2B/B2C environments
- Has the ability to break down problems and estimate time for development tasks
- Experience mentoring and guiding junior engineers
- Understands the technology landscape, up to date on current technology trends and new technology, brings new ideas to the team
- Learns organization vision statement and decision-making framework. Able to understand how team and personal goals/objectives contribute to the organization vision
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