Location: Charlotte, NC
Salary: $120,000.00 USD Annually - $130,000.00 USD Annually
Description: Job Title: Senior Amazon Data Engineer Experience: 10+ Years
Location: Charlotte, NC or Plano, TX (Onsite)
Employment: Fulltime
Job Summary We are seeking an experienced
Senior Amazon Data Engineer to design, develop, and optimize large-scale data pipelines within a cloud-based data platform. The ideal candidate will have strong expertise in
Amazon S3, AWS Data Engineering, PySpark, SQL, and
ETL/ELT frameworks, along with hands-on experience in
banking and payments data domains.
This role involves building reliable, scalable data solutions, ensuring high data quality and integrity, and working closely with cross-functional teams in a
Cloudera-based big data environment.
Key Responsibilities - Design, develop, and execute end-to-end data pipelines and validation test cases to ensure data accuracy, integrity, and quality.
- Build, implement, and optimize ETL/ELT workflows leveraging Amazon S3 for scalable data storage, retrieval, and processing.
- Develop scripts and automation for data movement between Amazon S3 and on-prem or cloud platforms using PySpark, Shell scripting, or similar tools.
- Utilize Amazon S3 advanced features such as:
- Versioning
- Lifecycle policies
- Access control (IAM policies, bucket policies)
- Server-side encryption
- Monitor, troubleshoot, and optimize pipeline performance to ensure high availability and reliability.
- Collaborate with data engineers, developers, analysts, and business stakeholders to resolve data-related issues efficiently.
- Validate and manage HiveQL, HDFS file structures, and data processing within Hadoop/Spark environments.
- Work within a metadata-driven ETL framework and batch/job scheduling systems.
- Create and maintain technical documentation, ensuring adherence to data engineering best practices.
- Support data governance, data quality checks, and compliance requirements within a regulated banking environment.
Required Skills & Qualifications Technical Skills - Primary Skill: Amazon Data Engineering
- Secondary Skills:
- AWS Data Engineering
- Amazon S3 (storage, lifecycle management, security, automation)
- PySpark
- SQL
- Shell Scripting
- Autosys (job scheduling)
- Strong hands-on experience with Hadoop, Spark, Hive, and HDFS
- Experience working with Oracle databases
- Strong understanding of data warehousing concepts, data transformation, and data quality frameworks
- Experience in Cloud Storage and AWS ecosystems
Tools & Platforms - Amazon S3
- PySpark
- SQL
- Oracle
- Autosys
- Cloudera Platform
Domain Experience - Banking domain experience is required
- Payments domain experience is preferred
Soft Skills - Strong analytical and problem-solving skills
- Excellent verbal and written communication skills
- Ability to collaborate effectively with cross-functional and offshore teams
- Detail-oriented with a strong focus on data accuracy and quality
Preferred Qualifications - Experience with metadata-driven ETL processes
- Exposure to large-scale distributed data processing
- Familiarity with enterprise data governance and compliance standards
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