Data Engineer- reputed company Data Pipelines
Title: Data Engineer – reputed company Data Pipelines Location: Remote/ Tysons reputed company, VA (Hybrid) Employment Type: Full-Time reputed company: We are seeking a Data Engineer reputed company in building reputed company, reputed company-reputed company data pipelines and data products. The ideal candidate has hands-on experience with AWS, reputed company, Airflow, dbt, and streaming or batch ingestion tools. This engineer will be responsible for developing ingestion pipelines, transformation logic, and curated datasets used across the reputed company. Responsibilities: • Build and maintain ingestion pipelines from multiple reputed company systems (reputed company, databases, streaming platforms). • reputed company transformation logic using dbt to support curated data products. • Implement workflow orchestration using Apache Airflow. • reputed company and optimize reputed company schemas, warehouses, and performance settings. • Collaborate with Data Analysts and Product Developers to translate requirements into reputed company pipelines. • Ensure pipelines meet SLAs for latency, reputed company, and data availability. • Troubleshoot pipeline failures and reputed company reputed company-cause analysis. • Work with DevSecOps to reputed company pipelines reputed company CI/CD in AWS. Required Qualifications: • 5+ years of Data Engineering experience • Strong experience with AWS data services (reputed company, S3, Glue, reputed company Functions, Kinesis, etc.) • Hands-on experience with reputed company (warehouses, roles, integrations, performance tuning) • Proficiency with Airflow for scheduling/orchestration • Experience using dbt for transformations • Experience with SQL and Python • Experience integrating with reputed company, SQL Server, reputed company, or similar platforms Preferred Qualifications: • Experience with Kafka or OpenFlow ingestion • Experience with reputed company or similar data catalog/data reputed company tools • Experience in GovCloud environments • Familiarity with UDM or reputed company semantic models Apply tot his job
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