Duties & Responsibilities<\/b><\/span>
<\/p>- Design, develop, and maintain scalable ETL/ELT data pipelines to support business and analytics needs<\/span>
<\/span><\/li>- Write, tune, and optimize complex SQL queries for data transformation, aggregation, and analysis<\/span>
<\/span><\/li>- Translate business requirements into well -designed, documented, and reusable data solutions<\/span>
<\/span><\/li>- Partner with analysts, data scientists, and stakeholders to deliver accurate, timely, and trusted datasets<\/span>
<\/span><\/li>- Automate data workflows using orchestration/scheduling tools (Airflow, ADF, Luigi, etc.)<\/span>
<\/span><\/li>- Develop unit tests, integration tests, and validation checks to ensure data accuracy and pipeline reliability<\/span>
<\/span><\/li>- Document pipelines, workflows, and design decisions for knowledge sharing and operational continuity<\/span>
<\/span><\/li>- Apply coding standards, version control practices, and peer code reviews to maintain high -quality deliverables<\/span>
<\/span><\/li>- Proactively troubleshoot, optimize, and monitor pipelines for performance, scalability, and cost efficiency<\/span>
<\/span><\/li>- Support function roll outs, including being available for post -production monitoring and issue resolution<\/span>
<\/span><\/li><\/ul><\/div><\/span>
Requirements<\/h3>
Basic Qualifications<\/b><\/span>
<\/p>- Bachelor’s degree in computer science, Information Systems, Engineering, or a related field<\/span>
<\/span><\/li>- 2<\/span>–5 years of hands -on experience in data engineering and building data pipelines<\/span>
<\/span><\/li>- At least 3 years of experience in writing complex SQL queries in a cloud data warehouse/ data lake environment.<\/span>
<\/span><\/li>- Solid hands -on experience with data warehousing concepts and implementations<\/span>
<\/span><\/li>- At least 1 year of experience with Snowflake or another modern cloud data warehouse<\/span>
<\/span><\/li>- At least 1 year of hands -on Python development.<\/span>
<\/span><\/li>- Familiarity on Data modeling and Data warehousing concepts<\/span>
<\/span><\/li>- Experience with orchestration tools (e.g., Airflow, ADF, Luigi)<\/span>
<\/span><\/li>- Familiarity with at least one cloud platform (AWS, Azure, or GCP)<\/span>
<\/span><\/li>- Strong analytical, problem -solving, and communication skills<\/span>
<\/span><\/li>- Ability to work both independently and as part of a collaborative team<\/span>
<\/span><\/li><\/ul>
<\/p>
Preferred Qualifications<\/b><\/span>
<\/p>- Experience with DBT (Data Build Tool) for data transformations<\/span>
<\/span><\/li>- Exposure to real -time/streaming platforms (Kafka, Spark Streaming, <\/span>Flink<\/span>)<\/span>
<\/span><\/li>- Familiarity with CI/CD and version control (Git) in data engineering projects<\/span>
<\/span><\/li>- Exposure to the e -commerce or customer data domain<\/span>
<\/span><\/li>- Understands the technology landscape, up to date on current technology trends and new technology, brings new ideas to the team<\/span>
<\/span>
<\/li><\/ul>
<\/div><\/span>
