Senior ETL Developer - Hybrid/Onsite

About the position

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Senior ETL Developer - Hybrid/Onsite to join our team in Boston, Massachusetts (US-MA), United States (US).

Responsibilities

• Perform Data analysis, collect business requirements and identify business rules
• Analyze, develop and support Data Integration, EDW and Data Management using Data Stage, Teradata, SQL, Autosys, Oracle etc. platforms and tools
• Collaborate with data modelling team to define data integration logic
• Create data mapping necessary to fulfill the requirements
• Build and test new ETL programs to fulfill the service requests
• Automate the ETL processes and pipelines using scripting and Autosys
• Participate in Unit Testing, assist QA team in Integration Testing, and support Business team for UAT
• Participate in code deployment and coordinate with different infrastructure teams during go-live, post-production, and continued support of end product
• Estimate the time and resources needed for implementing the service requests
• Participate in technology governance groups that defines policies, best practices and make design decisions in on-going projects
• Mentor junior developers regarding best practices and technology stacks used to build the application
• Debug data quality issues by analyzing the upstream sources and provide guidance to data integration team resolutions
• Work closely work with DBAs to fix performance bottlenecks

Requirements

• Recent experience and clear responsibilities in a ETL / Extracts / Data Engineering lead developer capacity
• 8 plus years of experience in data integration (ETL) with 5 or more in solution development using DataStage suite
• 5 or more years of experience in RDBMS / Data Warehousing platforms, preferably Teradata
• Must be an expert in Linux and Python scripting to introduce automation as part of solution delivery
• Strong SQL knowledge and ability to write most complex queries
• Conceptual understanding of logical and physical data model is a must, and a working experience is a plus
• Ability to develop and maintain data integration/ETL specifications that states integration rules and mappings

Nice-to-haves

• Certifications in ETL and Data Warehouse platforms
• Domain experience in Healthcare
• Data profiling and implementation of automated solutions for data quality checks