AWS EMR developer resolve vulnerability in HI

We are

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets.

AWS Data Engineer with EMR clusters:

Piscataway, NJ 

Responsibilities:-

• 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:

• 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.

S​YNECHRON’S DIVERSITY & INCLUSION STATEMENT
 

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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