Hello,
*Greetings!* This is *Avanish* from *NLB Services*. We are a global recruitment company with a specialization in hiring IT professionals. One of our clients is looking for a *Data Engineer / Data Scientist *in *Atlanta, GA (Hybrid)**.* *Position: **Data Engineer / Data Scientist* *Location: **Atlanta, GA (Hybrid)* *Type: Contract* *Job Description:* *Note:* - *Recent experience in the Payment Domain is required.* - *Target candidates from TYSS, InComm Payments, and Global Payments or similar organizations.* - *Strong ability to analyze enterprise payment data, identify patterns, and optimize processes.* - *Expertise in deep diving into complex datasets to derive actionable business insights.* - *Candidates with a Banking and Financial Services background will be a strong fit.* *Responsibilities:* - Design, build, and optimize scalable data pipelines to support business operations and analytics. - Work extensively with AWS technologies such as S3, Lambda, Aurora DB, Glue, Kinesis, and Redshift for data processing and storage. - Manage and enhance data workflows to streamline data ingestion, transformation, and storage. - Develop and maintain ETL/ELT processes to ensure data accuracy, consistency, and security. - Work with Enterprise Payment Systems to ensure seamless data integration and transaction processing. - Design and optimize Aurora DB to support high-performance transactional workloads. - Implement real-time data streaming solutions using AWS Kinesis or Kafka. - Conduct deep-dive analysis on large datasets to drive strategic business insights. - Collaborate with Data Scientists, Analysts, and Business Teams to develop data-driven solutions. - Ensure data governance, security, and compliance best practices. - Automate and optimize data operations for improved efficiency and scalability. *Required Skills:* - Bachelor’s/Master’s degree in Computer Science, Data Engineering, or a related field. - 3+ years of hands-on experience in data engineering or related fields. - Strong experience with AWS services (S3, Lambda, Glue, Aurora DB, Kinesis, Redshift, EMR, etc.). - Proficiency in SQL, Python, or Scala for data manipulation and pipeline development. - Experience working with relational and NoSQL databases, particularly AWS Aurora DB, PostgreSQL, or DynamoDB. - Expertise in building and managing data pipelines for batch and real-time data processing. - Hands-on experience with big data frameworks such as Spark, Hadoop, or Flink. - Experience in Enterprise Payment Systems and handling large financial datasets is a plus. - Strong analytical mindset with the ability to deep dive into data and generate meaningful insights. - Proficiency in working with data modeling, data warehousing, and data architecture best practices. - Familiarity with CI/CD pipelines, Infrastructure as Code (IaC), and DevOps practices for data workflows. - Excellent problem-solving skills and ability to work in a fast-paced environment. *Preferred:* - Certifications in AWS Data Engineering, Big Data, or Machine Learning are a plus. *Thanks & Regards,* *Avanish Pandey* *---------------------------------------* *Next Level Business Services, Inc.* *avanish.pan...@recruiter.nlbtech.com* <avanish.pan...@recruiter.nlbtech.com> *(904) 290-8616 || **LinkedIn* <https://www.linkedin.com/in/avanish-pandey-83897493/> -- You received this message because you are subscribed to the Google Groups "Powerbuilder Assignments" group. To unsubscribe from this group and stop receiving emails from it, send an email to powerbuilder-assignments+unsubscr...@googlegroups.com. To view this discussion visit https://groups.google.com/d/msgid/powerbuilder-assignments/CAM%3D5NfXs3EAm%3Dj%2BNdAb0d2Zm9C6AY5%2BgoCN3L7W5Sr5EuMZoBA%40mail.gmail.com.
