Job Descriptions:-
SKILL SET: AWS EMR/Informatica/ Hadoop/Spark/ Python
The candidate will work closely with Architecture team and delivery team to help Wellmark's project backlog with a specific emphasis on the Informatica technology stack. The candidate will be looked to potentially make recommendations on the improving the Data Architecture utilizing cloud (AWS preferred) hosted services, with a particular emphasis on asynchronous data warehousing. The individual will work with and as part of the team; guiding, training, and improving the maturity levels of the team.
Qualifications
- 3+ years' experience in professional services (prior major consultancy experience preferred) with a mix of functional and in-depth technical competencies
- Knowledge of cloud (AWS preferred) infrastructure services, DBMS products, solutions, and modern Data Architectures (streaming/real-time Data Warehousing).
- Knowledge and experience using Architectural patterns for data movement (streaming and event based), data storage, analytics
- Knowledge and experience with HL7 and FHIR standards.
- Deep knowledge of data modeling and metadata management.
- Proven experience in managing and assisting in AWS system implementations or upgrades within a fast-paced environment
- Strong leadership, communication (verbal and written), analytical and problem-solving skills
- Effectively lead complex meetings with varying levels within organization
- Ability to communicate complex technical analysis to technical and non-technical audiences
- Ability to lead and provide direction to team members (on or offshore) including technical vision, Architecture and design
- Possess the qualities and characteristics that support development of junior team members to grow a practice.
Skills
- Experience working with S3, EC2, Kinesis, API Gateway, SNS, SQS, Cloud Watch, Shield, Lambda, Cloud Front and Redshift
- Hands-on experience with platforms such as AWS EMR, Hadoop, Spark, or Kafka and languages such as Python, JAVA, or SQL
- Hands-on experience with platforms such as AWS EMR, Hadoop, Spark, or Kafka and languages such as Python, JAVA, or SQL
- Proven ability to leverage and integrate technology components into an overall solution architecture in support of business requirements.
- Demonstrate knowledge of Data Architecture, Data Warehousing, Advanced Analytic, or Data Science implementations.
- Multiple years of relevant experience in creating solutions using Cloud and Big Data technologies and techniques.
- Multiple years of relevant experience in Very Large Data Warehousing and/or Advanced Analytics using massively parallel (MPP) database platforms (such as Teradata, Netezza, etc.).
- Multiple or more years of relevant experience in the solution architecture and implementation oversight of data-intensive solutions.
- Knowledge of best practices and IT operations in an always-up, always-available service