May 11, 2023
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Bethesda, MD, Remote
May 11, 2023
Apply NowJob description
Education
- Bachelors degree in Computer Science or a related field
- Minimum of 5 years of experience in building data driven solutions.
- Applicants must be authorized to work in the US without requiring employer sponsorship currently or in the future. CSS does not offer H-1B sponsorship for this position.
- Expertise in real-time data solutions, good to have knowledge of streams processing, Message Oriented Platforms, ETL/ELT Tools, NoSQL, and in-memory database solutions
- Deep knowledge of AWS Cloud environment. AWS Clienthitecture certification is desired.
- Solid scripting experience in AWS using Cloud Formation Templates and lambda functions.
- Strong scripting experience on object-oriented programming, viz. Python, Java
- Hands on experience with popular cloud-based data warehouse platforms, viz. Redshift, Snowflake. Overall experience with AWS services should be over three years.
- Experience with one or more data integration tools viz. Attunity (Qlik), AWS Glue ETL, Talend, Kafka etc.
- Strong understanding of data security authorization, authentication, encryption, and network security.
- A good understanding of container technology using AWS EKS or Kubernetes in general
- Experience in building data pipelines with related understanding of data ingestion, transformation of structured, semi-structured and unstructured data across cloud services
- Demonstrated ability to be self-directed with excellent organization, analytical and interpersonal skills, and consistently meet or exceed deadline deliverables.
- Demonstrated experience in data management with a strong understanding of process re/design.
- Strong communication skills to facilitate meetings and workshops to collect data, functional and technology requirements, document processes, data flows, gap analysis, and associated data to support data management/governance related efforts.
- Knowledge and understanding of data standards and principles to drive best practices around data management activities and solutions.
- Strong understanding of the importance and benefits of good data quality, and the ability to champion results across functions.
- Ability to lead collaborative meetings which result in clearly documented outcomes, a concrete understanding of meeting attendee performance/reliability, and ongoing management & follow-up for action items.
- Acts with integrity and proactively seeks ways to ensure compliance with regulations, policies, and procedures.
