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Azure Data Warehouse Developer Jobs in Connecticut

Whiz Global LLC

Data Warehouse Engineer

Salem, CT · On-site

Data Warehouse Engineer (Informatica) Location: Uncasville, CT (Hybrid) Duration: FTE Experience- 8-20 years The Data Warehouse Engineer is responsible for designing, developing, and maintaining ...

Netsynk

Data Warehouse Engineer (Informatica)

Montville, CT · On-site

$51 - $67.25/hr

Data Warehouse Engineer (Informatica) Location: Uncasville, CT (Hybrid) Job Type: Full-Time Experience Required: 8+ Years Job Summary We are seeking an experienced Data Warehouse Engineer with strong ...

Pwc

Data Engineer - Manager

Stamford, CT

You can also build and enhance ETL/ELT pipelines, manage data warehouses and data lakes, and ... AWS, Azure and GCP DevOps services to build and deploy DevOps pipelines - Implementing data ...

Pwc

Data Engineer - Manager

Hartford, CT

You can also build and enhance ETL/ELT pipelines, manage data warehouses and data lakes, and ... AWS, Azure and GCP DevOps services to build and deploy DevOps pipelines - Implementing data ...

Staffingine LLC

Net Lead Developer - Azure

Farmington, CT · On-site

$58.25 - $72.50/hr

Implementing data storage solutions integrating databases and using Azure data services for ... Knowledge in Azure Devops CICD pipelines * Good in front end technologies like Jquery Javascript ...

Teamware Solutions

DATA Engineer

East Hartford, CT · On-site

$113K - $136K/yr

Build and maintain large-scale SQL-based data warehouses , including dimensional models, star ... Hands-on with orchestration tools such as Apache Airflow , Databricks Workflows , or Azure Data ...

New

Mohegan Sun

Data Warehouse Analyst

Uncasville, CT · On-site

The role involves maintaining data warehouse infrastructure, providing support for business ... Required : • Bachelors' Degree in Computer Science, Engineering, Business or a related field • ...

Mohegan

Data Warehouse Analyst

Uncasville, CT · On-site

Responsible for the implementation of data warehouse infrastructure including ETL programs, views ... Bachelors' Degree in Computer Science, Engineering, Business or a related field * Demonstrated ...

Infosys

Azure Databricks Admin

Hartford, CT · On-site

$55.50 - $68.75/hr

Preferred : • Experience in Azure/AWS big data & analytics technologies, including Databricks, real time data ingestion, data warehouses, serverless ETL, No SQL databases, DevOps, Kubernetes ...

Nam Info Inc

Dataiku Developer

Stamford, CT · On-site

Hands-on expertise with the Azure data ecosystem (Data Factory, Synapse, Azure SQL, Data Lake, etc.). * Strong knowledge of Python and SQL scripting; experience with API integrations. * Ability to ...

Pwc

Data Engineer - Senior Associate

Stamford, CT

$77K - $202K/yr

... Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies ...

Pwc

Data Engineer - Senior Associate

Hartford, CT

$77K - $202K/yr

... Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies ...

Centstone

Power BI Developer

Hartford, CT · On-site

Tableau Developer Location: Hartford, Connecticut Work Mode: Hybrid - 80% Remote / 20% Onsite ... Azure Data Factory pipelines, data loads, data quality issues, and root cause analysis • ...

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All JobsAzure Data Warehouse Developer JobsAzure Data Warehouse Developer Jobs in Connecticut

Azure Data Warehouse Developer information

What is the difference between Azure Data Warehouse Developer vs Data Engineer?

AspectAzure Data Warehouse DeveloperData Engineer
Primary FocusDesigning and developing data warehouse solutions on AzureBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsAzure SQL, SSIS, T-SQL, Azure Data FactorySQL, Python, ETL tools, cloud platforms
Work EnvironmentData warehousing projects within cloud environmentsBroader data infrastructure across multiple platforms

Azure Data Warehouse Developers specialize in creating data warehouse solutions on Azure, focusing on data storage and retrieval. Data Engineers have a broader role, building data pipelines and infrastructure across various platforms. While both roles require SQL and cloud knowledge, Azure Data Warehouse Developers focus more on data warehousing technologies, whereas Data Engineers handle end-to-end data processing and architecture.

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Azure Data Warehouse Developer jobs near you

Data Warehouse Engineer

Whiz Global LLC

Salem, CT • On-site

Other

Posted 24 days ago

Job description

Job Title:Data Warehouse Engineer (Informatica)
Location:  Uncasville, CT (Hybrid)
Duration: FTE
Experience- 8-20 years

Job Description

The Data Warehouse Engineer is responsible for designing, developing, and maintaining enterprise data warehouse infrastructure and ETL (Extract, Transform, Load) solutions that support strategic decision-making and operational efficiency. This role requires strong expertise in data integration, database management, and modern data engineering practices. The position collaborates closely with business stakeholders and cross-functional teams to gather requirements, implement scalable data solutions, and ensure the availability of high-quality, reliable data assets for business intelligence and analytics initiatives.

Key ResponsibilitiesETL Development and Data Integration
  • Design, develop, and maintain complex ETL workflows using enterprise tools such as Informatica
  • Extract data from diverse source systems, apply transformation logic, and load into data warehouse environments
  • Implement automated validation processes to ensure data accuracy and integrity
  • Develop Python scripts and APIs for automation, data processing, and integration tasks
Data Warehouse Design and Optimization
  • Design and maintain efficient data warehouse structures (schemas, tables, views, materialized views)
  • Perform performance tuning, including query optimization, clustering keys, and partitioning strategies
  • Apply best practices in data modeling and architecture
  • Utilize advanced platform features such as time travel, zero-copy cloning, and data sharing
  • Ensure scalability, efficiency, and optimal system performance
Business Intelligence Support and Collaboration
  • Provide Level III technical support for BI and decision support tools
  • Collaborate with business stakeholders to translate requirements into technical solutions
  • Troubleshoot complex data issues
  • Develop reports and visualizations using tools such as Power BI and Cognos
  • Ensure data accuracy, usability, and efficiency for business users
Data Pipeline Development and API Integration
  • Design and implement scalable modern data pipelines
  • Develop Python-based solutions for data ingestion and transformation
  • Integrate systems through APIs and web services
  • Leverage platform capabilities such as:
    • Streams and Tasks
    • Continuous data ingestion (e.g., Snowpipe)
    • External functions for integrations
  • Ensure reliability and scalability in a 24/7/365 enterprise environment
Required Skills & Experience
  • Bachelor’s degree in Computer Science, Engineering, Business, or related field
  • Minimum 5 years of experience in data warehousing, ETL development, and database management
  • Strong expertise with Informatica and BI tools such as Snowflake, Power BI, and Cognos
  • Advanced proficiency in SQL and cloud-based data warehouse technologies
  • Hands-on experience with Snowflake architecture, administration, and optimization
  • Experience using Python for data engineering tasks
  • Knowledge of API development and system integration
  • Strong analytical, problem-solving, and communication skills
  • Demonstrated ability to collaborate effectively across teams
  • Ability to obtain and maintain required gaming licenses in multiple jurisdictions
Preferred Experience
  • Advanced SQL and relational database expertise
  • Deep knowledge of Snowflake ecosystem (SnowSQL, Snowpipe, Streams, Tasks, Data Sharing)
  • Strong understanding of data modeling and architecture principles
  • Experience with API development and integration frameworks
  • Knowledge of governance frameworks such as COBIT and ITIL
  • Solid understanding of Software Development Lifecycle (SDLC) and data engineering best practices
Regards,
Shivani Yadav 
Recruitment Trainee
Whiz Global LLC
Phone: 
shivani.yadav

Address: 1555 Medlock Bridge Road

Suite 100, Johns Creek, GA 30097  

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