Job Description – Position: Data Engineer – E-Commerce Location: Remote (preferred EST/CST) or Onsite (as per client requirement) Start Date: ASAP Duration: 6+ months contract (possible extension/CTH) Role Overview We are seeking a Data Engineer with proven experience in the e-commerce domain to design, develop, and optimize data pipelines and integration frameworks. The ideal candidate will have strong expertise in handling large-scale transactional data, building ETL/ELT pipelines, and working closely with analytics and business teams to deliver insights that drive customer experience and revenue. Key Responsibilities • Design, build, and maintain scalable data pipelines for e-commerce applications. • Integrate and manage data from multiple sources (transactional systems, clickstream, ERP, CRM, etc.). • Work with cloud platforms (AWS / Azure / GCP) for data storage, transformation, and orchestration. • Optimize data models to support BI dashboards, personalization, recommendation engines, and marketing analytics. • Collaborate with Data Scientists and Analysts to enable predictive and prescriptive analytics. • Ensure data quality, governance, and security across all systems. • Troubleshoot performance bottlenecks and improve data processing efficiency. Required Skills & Experience • 3–6+ years of experience as a Data Engineer. • Proven expertise with SQL and at least one programming language (Python/Scala/Java). • Hands-on experience with ETL/ELT pipelines and orchestration frameworks (Airflow, dbt, or similar). • Strong knowledge of cloud data platforms (AWS Redshift, Azure Synapse, Google BigQuery, or Snowflake). • Experience working with e-commerce datasets (orders, products, customers, transactions, clickstream). • Familiarity with streaming frameworks (Kafka, Kinesis, Spark Streaming) is a plus. • Understanding of data governance, quality frameworks, and performance tuning.