Data Engineer

Data Pipelines - Build and maintain scalable ingestion and ETL pipelines on AWS. AWS Data Services - Work with S3, Redshift, Glue, Lambda, and Databricks for batch processing. SQL Engineering - Write optimized SQL for large datasets and analytical workloads. Cloud Architecture - Design secure, high-performance data solutions using IAM best practices. Data Quality - Ensure accuracy, consistency, and governance across data platforms. Collaboration - Work with cross-functional teams in Agile environments.

Seeking an AWS Data Engineer with strong hands-on experience in SQL, AWS S3/Redshift, Glue, and Databricks to build scalable data pipelines, optimize data flows, and support cloud-native analytics workloads., Advanced SQL - Query tuning, performance optimization AWS S3/Redshift - Strong experience with cloud storage + warehouse AWS Glue - ETL development, job orchestration Databricks - Spark-based transformations and pipelines Python/PySpark - Hands-on programming for large-scale data processing IAM & Security - Strong understanding of roles, policies, and cloud security DevOps - Jenkins/GitLab CI/CD pipelines Agile - Experience with Agile delivery frameworks Nice to Have Kafka/Spark Streaming - Real-time ingestion DBT - Data modeling & transformations, Required Skills & Qualifications * Strong experience in data engineering, ETL (preferably Informatica), and data architecture * Experience working with Salesforce platforms and…

• 1 month ago