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Data Engineer

Akaasa Technologies

Data Engineer Location: Atlanta, GA (100% Onsite) Duration: 6 Months Contract Interview: Virtual round Technical Skills Python | SQL | Snowflake | DBT | AWS Airflow | AWS | ETL/ELT | Data Engineering | Data Pipelines | Data Modeling | Spark | Kafka | Hadoop | NoSQL | Cloud Data Platforms | AI/Automation | AWS Bedrock | Snowflake ML | Agile Note: Must be local with DL copy LinkedIn with location and photo (before 2023) Position Overview Our client is seeking a Data Engineer to support a key enterprise data engineering initiative focused on building and maintaining scalable data pipelines and cloud-based data platforms. The ideal candidate will have strong expertise in Python, SQL, Snowflake, DBT, and AWS Airflow , with the ability to work independently in a fast-paced, client-facing environment. Required Skills & Experience 5+ years of experience in Data Engineering or Data Platform development. Strong hands-on expertise in: Python (Must Have) SQL (Must Have) Snowflake DBT AWS Airflow Experience designing and supporting scalable ETL/ELT pipelines. Strong understanding of data modeling, relational databases, and cloud data platforms. Experience working with AWS, Azure, or GCP environments. Familiarity with big data technologies such as Spark, Kafka, or Hadoop . Experience with Agile development methodologies and cross-functional collaboration. Excellent analytical, troubleshooting, and communication skills. Other Skills Exposure to AI/Automation technologies such as AWS Bedrock or Snowflake ML . Experience with real-time data processing and streaming analytics. Knowledge of machine learning pipelines and data science workflows. Experience with Kubernetes, Apache NiFi, or similar orchestration tools. Cloud certifications (AWS, Azure, or GCP) are a plus. Key Responsibilities Design, develop, and maintain scalable enterprise data pipelines and ETL/ELT workflows. Build and optimize cloud-based data platforms to support analytics and business intelligence. Develop data transformation solutions using DBT, Snowflake, Python, and SQL . Collaborate with business stakeholders, analysts, and data scientists to deliver high-quality data solutions. Implement best practices for data governance, security, and compliance. Monitor, troubleshoot, and optimize data pipeline performance and reliability. Support workflow orchestration using AWS Airflow and modern cloud technologies. Contribute to data platform modernization and automation initiatives. #J-18808-Ljbffr Akaasa Technologies

Vacancy posted 2 days ago
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