AWS Data Engineer with EMR clusters - Accord Technologies Inc.

AWS Data Engineer with EMR clusters
Piscataway, NJ (locals needed)
12 months

• Data Pipeline Development: Design and implement robust ETL processes to extract, transform, and load data from various sources into data lakes and warehouses.
• AWS EMR Clusters: Configure, manage, and optimize Amazon EMR clusters for big data processing using Apache Spark, Hive, or Presto.
• Container Orchestration: Utilize Kubernetes for deploying, scaling, and managing containerized applications and services.
• CI/CD Implementation: Develop and maintain CI/CD pipelines for automated deployment of data applications and services using tools like Jenkins, GitLab CI, or AWS CodePipeline.
• SQL Development: Write complex SQL queries for data manipulation and retrieval, ensuring high performance and scalability.
• Data Quality and Governance: Implement data quality checks, monitoring, and logging mechanisms to ensure data reliability and compliance.
• Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
• Documentation: Maintain comprehensive documentation of data architecture, processes, and workflows.

Qualifications:

• Education: Bachelor's degree in Computer Science, Data Science, Information Technology, or a related field.
• Experience: 3+ years of experience in data engineering or a related role, with a focus on AWS technologies.
• AWS Expertise: Proficient in AWS services such as EMR, S3, RDS, Redshift, Lambda, and CloudFormation.
• Kubernetes Knowledge: Experience with Kubernetes for container orchestration and microservices architecture.
• CI/CD Tools: Familiarity with CI/CD tools and practices, including version control using Git.
• SQL Proficiency: Strong knowledge of SQL, with experience in relational databases (e.g., MySQL, PostgreSQL) and data warehousing solutions.
• Programming Skills: Proficiency in programming languages such as Python, Java, or Scala for data processing tasks.
• Problem-Solving Skills: Ability to troubleshoot complex data issues and optimize performance.
• Communication: Excellent communication skills with the ability to work collaboratively in a team environment.