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BI Sr ETL Developer
619 RecruitingFishers, IN
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Job Description
BI Sr ETL Developer
NO C2C and No Sponsorship Requirements Allowed
Our client is looking for full-time resource who has solid experience in Business Intelligence solution development and support, specifically focused in Data Profiling, Data Warehouse, and ETL using Microsoft toolset. The successful candidate will embody and work to reinforce the company s mission.
ESSENTIAL DUTIES
Design, develop and optimize data integration ETL / ELT solutions using Microsoft technologies.
Build and manage scalable data workflows using Azure Data Factory and Fabric Data Factory and integrate with OneLake, Dataflows Gen2
Expertise in Azure tools, specifically Data Factory, Azure Automation - Runbooks / Workbooks and DevOps
Expertise in SQL creation and optimization Queries, Stored Procs, Performance Tuning, Data Profiling
Experience in implementing Logic Apps, Stored Procedures, ETL, Cube, Reports
Ensure data accuracy, data quality, and data governance across all ETL processes.
Maintain documentation related to ETL processes, support procedures, data dictionaries, and business logic.
Document & maintain Production Support Runbook.
Create and maintain documentation for ETL processes, data mappings, and workflow schedules
Translate business and functional requirements into technical requirements
Interact with business users and customers to gather requirements, understand issues, and communicate resolutions clearly.
Handle production support for BI and ETL systems, ensuring high availability and quick resolution of data issues.
Monitor daily ETL jobs, identify failures or performance bottlenecks, and resolve issues in a timely manner.
Handle and resolve support tickets related to data discrepancies, report issues, job failures, and user queries.
Collaborate with business stakeholders, analysts, and data scientists to understand data requirements and deliver BI solutions.
Optimize data models for performance and usability in Power BI and other visualization tools.
Create unit test data and plans mapped to requirements, ensuring code and data quality
Understand and determine whether calculations and processing should be done in BI application or ETL
Participate in code reviews, performance tuning, and process improvements
Handle Stage and Production migrations and deployments
Ability to perform tasks following agile / sprint methodology; participate in scrum ceremonies
Participate as part of a weekend rotation schedule for support of production loads
Provide estimation of software deliverables to management, highlighting risks and ensuring software is delivered as per Project plan
REQUIRED KNOWLEDGE, SKILLS AND ABILITIES
Skills and Competencies.
Proven ability to communicate well verbally and in writing, with all areas.
Excellent communication skills are important both written and spoken.
Ability to work independently, multi-task, and manage time and priorities to meet deadlines.
Strong collaborative, analytic skills to work with business partners to drive requirements for solutions
Mitigate problems and roadblocks, involving internal and external stakeholders.
Innovative mindset : ability to think both creatively and critically
Strong understanding of data warehousing concepts, dimensional modeling and data modeling
Help create ad-hoc queries and provide data as requested, with a goal of transitioning to self-service
Routinely analyzes data across data lineage, from source to stage to target to reports
Able to evaluate priorities and manage work to critical project timelines in fast-paced environment.
Must demonstrate the ability to interpret business data and translate into insightful recommendations
Ability to prioritize and handle multiple tasks in a high-pressure environment
Adaptability to fast-paced retail environments and changing business priorities
Demonstrate leadership qualities, flexibility and adaptability in roles and responsibilities as required
Research and troubleshoot issues and questions related to deployed solutions
Maintain knowledge of the latest data technology and best practices
EDUCATION
Bachelor s degree ( / in Information Technology or related field or the equivalent combination of education and experience.
EXPERIENCE
5 years of experience in Microsoft ETL (Azure Data Factory & Fabric)
Proficiency with SQL Server (T-SQL), and Azure Data Factory
5 years of experience in Microsoft databases (Azure SQL DB, Blob, Data Lake)
Familiarity with source control and CI / CD pipelines for ETL deployment Git, Azure DevOps
Experience working with large-scale datasets and performance tuning techniques
5 years of experience supporting a BI solution
Working experience with Agile methodology
Experience with Data Warehousing Modeling concepts
Excellent problem-solving skills and the ability to work independently or in a team
Strong communication and documentation skills
PREFERRED SKILLS
Experience with Azure Data Lake, Delta Lake, One Lake andDatabricks, Python, Scala
Experience with real-time data streaming technologies - Azure Event Hubs, Azure functions, Azure Stream Analytics, Kafka
Knowledge of Microsoft Fabric Catalog / Azure Purview for metadata management
Experience in the retail, finance, or healthcare industry
Experience creating Power BI Semantic Models
KPIs
UAT issues error rate (due to code development issue(s))
Resolve Enterprise Reporting service tickets within 5 days >