Weekday AI
SSISandAzureDataEngineer
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“SSIS and Azure Data Engineer at Weekday AI. Skills: SSIS, Azure Data Factory, Azure Databricks, Data Warehousing, ETL. Develop SSIS packages. Develop Azure Data Factory pipelines”
Industry & Context.
Troubleshooting; Issue resolution
What They're Looking For.
Must Have
Minimum 7 years of experience as a Data Engineer, 3 years of hands-on experience using Microsoft technologies, Proficiency in scripting languages, Advanced experience with MS SQL Server, MySQL, or Oracle databases, Practical experience in ETL development using SSIS and Data Factory, In-depth knowledge of Master Data Management, Experience working with scalable relational databases, Knowledge of application and system availability, Background in data warehousing technologies, Familiarity with the full Software Development Life Cycle (SDLC), Experience working within Lean or Agile development methodologies, Proven ability to provide technical leadership
Nice to Have
Experience in defining new architectural frameworks, Familiarity with data modeling and ETL tools, Ability to support users by troubleshooting and tuning queries, Experience designing and implementing ETL/ELT frameworks, Hands-on development approach, Exposure to Continuous Integration / Continuous Deployment (CI/CD) processes
What You'll Do.
Develop SSIS packages
Develop Azure Data Factory pipelines
Develop Azure Databricks solutions
Design data pipelines
Develop data pipelines
Deploy data pipelines
Build enterprise data warehouses
Automate BI solutions
Optimize BI solutions
Identify data-related challenges
Resolve data-related challenges
Design self-service BI solutions
Deliver self-service BI solutions
Ensure adherence to documentation standards
Maintain business functional knowledge
Maintain expertise in automated technologies
Comply with policies and procedures
How You'll Work.
Team & Collaboration
Collaborate with BI management; Partner with business units; Mentor other engineers
Communication Scope
Verbal communication; Written communication
Process & Methodology
Lean development, Agile development
Full Job Description
**This role is for one of the Weekday's clients** Min Experience: 5+ years Location: Bengaluru, Pune, Hyderabad JobType: full-time **Requirements** **Primary Duties and Responsibilities:** * Over 5 years of experience in SQL Server ETL development utilizing SSIS, Azure Data Factory, and Azure Databricks, with strong expertise in ETL, data warehousing, and T-SQL. * Comprehensive understanding of data warehouse and data mart architectures, including the Kimball methodology. * More than 5 years of practical experience in building large-scale databases. * Designing, developing, and deploying efficient and reliable data pipelines for data movement and transformation. * Wide-ranging knowledge and hands-on experience in data modeling, data management, ETL, and business intelligence (BI). * Expertise in building enterprise data warehouses incorporating table partitioning, encryption, and data compression techniques. * Experience with cloud migration initiatives. * Conduct ongoing monitoring, automation, and optimization of reports and BI solutions. * Collaborate with BI management to identify and resolve data-related challenges. * Partner with business units to define and document requirements for new metrics and reports. * Participate in process evaluations and improvements. * Provide analysis and resolve issues reported by business stakeholders. * Engage in the design and delivery of cubes, dashboards, and a variety of self-service BI solutions. **Other:** * Ensure adherence to established documentation standards and best practices. * Maintain strong business functional knowledge alongside up-to-date expertise in automated technologies and tools. * Comply with all policies and procedures related to confidential information, including internal and restricted data. **Qualifications:** **Required** * Minimum 7 years of experience as a Data Engineer on Enterprise Data Warehousing (DWH) and Business Intelligence (BI) projects, both on-premises and cloud (Azure), with at least
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