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/>

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