Job Description: • Remote • Long term contract (~2 years) • US Citizen • Start date: mid-to-late October • This position is more of a Data Engineer. Must have 5+ years of experience in Java Spring Boot and Microservices. Must have 8-10 years of overall experience. Candidates MUST have experience with the following: • LDAP and OAuth 2.0 • CI/CD implementation on Openshift 3 or 4 • Angular • API design and development • 2+ years of experience with NoSQL (MogoDB preferable, Couchbase).

Full List of Expectations: Key Responsibilities: • Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies • Work with a team of data architects and developers to implement distributed microservices using CI/CD pipelines • Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products • Build and own the automation and monitoring frameworks that capture metrics and operational KPIs for data pipeline quality and performance • Responsible for implementing best practices around systems integration, security, performance, and data management • Work with data architects to build the foundational ETL process and regularly review the architecture and recommend improvements • Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, coded, and effectively tuned for performance.

Basic Qualifications: • Bachelor’s degree in Computer Science (or related technical field) or 8-10 yrs of overall experience in building ETL/ELT, data warehousing, and big data solutions • At least 7-8 years of overall experience in building ETL/ELT, data warehousing, and big data solutions.

Technical Requirements: • 10+ years of overall technology experience that includes at least 3+ years of hands-on software development, data engineering, and systems architecture • 5+ years of database experience with Oracle, DB2, and/or PostgreSQL • 3+ years of NoSQL experience MongoDB, Couchbase, AWS DynamoDB, GCP Bigtable • 3+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools • 3+ years of development experience in programming languages such as Java Spring Boot, Vert.x, Python, PySpark, etc • 2+ years of experience in cloud data engineering experience in GCP or AWS, certification plus • 2+ years of experience with distributed data computing tools such as Kafka, EMR, Spark, PostgreSQL • 2+ years of experience with monitoring tools Splunk or Dynatrace • Experience with running and scaling applications on the cloud infrastructure and containerized services such as OpenShift or Kubernetes • Experience with integration of cloud services with on-premises technologies • Experience with data modeling, data warehousing, and building high-volume ETL/ELT pipelines • Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets • Experience with version control systems like Github and deployment & CI tools • Understanding metadata management, data lineage, and data glossaries is a plus • Experience with Agile methodology of project delivery and tool such as Confluence or Jira, including DevOps and DataOps concepts • Familiarity with business intelligence tools (Tableau or Power BI).

Soft Skills and Abilities: • Excellent communication skills, both verbal and written, along with the ability to influence and demonstrate confidence in communications with senior-level management • Proven track record of leading, and mentoring data teams • Ability to understand and translate business requirements into data and technical requirements • A high degree of organization and ability to manage multiple, competing projects and priorities simultaneously • Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment • Strong leadership, organizational and interpersonal skills; comfortable managing trade-offs • Foster a team culture of accountability, communication, and self-management • Proactively drive impact and engagement while bringing others along • Consistently attain/exceed individual and team goals.