Informatica Powercenter

PySpark Netezza Power BI Dataflow Equities Metadata Usability Operations Leadership Automation Governance Databricks Code Review Informatica Star Schema Coordinating Azure DevOps Communication Data Modeling Systems Design Data Migration Data Pipelines Synapse Citrix Microsoft Azure Problem Solving Data Governance Business Process Computer Science Data Integration Data Warehousing Data Engineering Snowflake Schema Data Architecture Solutions Support Business Valuation Casualty Insurance Insurance Industry Workflow Management Metadata Management Emerging Technologies Full Stack Development Azure Machine Learning Artificial Intelligence Business Transformation Informatica Powercenter Cloud-Native Architecture SQL (Programming Language) Extract Transform Load (ETL) Scrum (Software Development) Scala (Programming Language) Python (Programming Language), Responsibilities Support the migration of legacy data platforms, including Informatica PowerCenter and SQL-based environments, into modern Databricks and Azure-based architectures. Build and support dimensional data models that drive reporting, analytics, and downstream business processes. Partner with development teams to understand existing ETL workflows and data integration patterns currently implemented in Informatica PowerCenter and help define future-state architecture. Establish and promote metadata management best practices, including data cataloging, column tagging, business definitions, lineage, and data governance standards. Drive data architecture decisions that improve discoverability, quality, governance, and usability of enterprise data assets. Hands-on development and support of Databricks and existing data applications. Work closely with business teams and analysts to understand data flows, business processes, and make recommendations on best practices and long-term solutions for current issues and future system design. Partner with Application and Enterprise Architects to review low-level implementation designs and understand high-level data flow architectures. Provide direction to engineering teams implementing complex data solutions. Support design, development, code reviews, testing, deployment, and documentation of data engineering and integration applications. Maintain detailed documentation to support downstream integrations and operational continuity. Provide support for production issues and ensure stability of data pipelines Perform Scrum Master activities to drive delivery and team coordination. Contribute to the roadmap for migrating on prem systems to cloud native architectures Identify emerging technology trends and evaluate opportunities for adoption AI & LLM usage: Leverage Databricks’ built-in LLM and AI capabilities for problem-solving, automation, and data platform modernization. Delivery excellence: Drive delivery outcomes, Power BI Marketing Dashboard Analytics Operations Leadership Statistics Forecasting Data Science Digital Twin Data Lineage Data Pipelines Test Automation Decision Making Customer Service Computer Science Data Engineering Data Architecture Business Valuation Information Systems Marketing Analytics Salesforce Datorama Business Intelligence Full Stack Development Marketing Mix Modeling Business Transformation Self Service Technologies Event Driven Architecture SQL (Programming Language) Snowflake (Data Warehouse) Customer Data Platform (CDP) Healthcare Industry Knowledge Enterprise Application Software Marketing Performance Measurement And Management +0

Google Business Intelligence

Salesforce Developer Data Architect TEKsystems

Charlotte, NC*Remote

Github On Prem PySpark Netezza Power BI Dataflow Equities Metadata Usability Operations Leadership Automation Governance Databricks Code Review Informatica Star Schema Coordinating Azure DevOps Communication Data Modeling Systems Design Data Migration Data Pipelines Synapse Citrix Microsoft Azure Problem Solving Data Governance Business Process Computer Science Data Integration Data Warehousing Data Engineering Snowflake Schema Data Architecture Solutions Support Business Valuation Casualty Insurance Insurance Industry Workflow Management Metadata Management Emerging Technologies Full Stack Development Azure Machine Learning Artificial Intelligence Business Transformation Informatica Powercenter Cloud-Native Architecture SQL (Programming Language) Extract Transform Load (ETL) Scrum (Software Development) Scala (Programming Language) Python (Programming Language) +0

delivery is the primary metric for success. Qualifications 5-7 years of experience in Data Warehousing, Data Integration, Data Engineering, Data Architecture, or related disciplines. Hands-on experience building dimensional models (star schema, snowflake schema, fact and dimension tables). Ability to work effectively with teams across the enterprise. Strong SQL and database fundamentals. Proficient in Databricks and modern Databricks capabilities (Unity Catalog, Databricks One, Lakehouse architecture, AI/LLM capabilities, etc.). Experience working within the Azure ecosystem. Experience with Informatica PowerCenter, IICS, Cognos, and Netezza Performance Servers. Experience with Power BI, Azure ML, Databricks, or Synapse. Experience using PySpark, Python, or Scala. Experience with Azure DevOps and GitHub preferred. Property & Casualty insurance experience preferred. Excellent communication and problem-solving skills. Bachelor’s degree in Computer Science or related engineering field preferred.

Skills

Databricks development, databricks architecture, etl, informatica power center, data migration, data modeling, metadata, artificial intelligence, insurance

Top Skills Details

Databricks development,databricks architecture,etl,informatica power center,data migration,data modeling,metadata,artificial intelligence

Additional Skills & Qualifications

Insurance industry experience is a plus (handling those types/volumes of data), Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

We’re partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That’s the power of true partnership. TEKsystems is an Allegis Group company., Were a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. Were a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. Were strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. Were building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.