Snowflake Data Engineer
Role Overview
The purpose of this role is to facilitate application solutions by developing and reviewing module-level codes, creating replication patterns, performing root cause analysis to identify recurring issues and collaborating with internal and external stakeholders to ensure stable, well-documented deliverables that meet business objectives.
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Key skills
• Strong Experience in Snowflake Cloud DB
• 5+ Years of experience working in large data warehousing projects, implementing data warehouses, data marts, ETL, BI solutions etc.
• Strong understanding of dimensional design techniques, star and snowflake schemas, building facts, dimensions, implementing SCD, various types of facts and dimensions etc.
• Familiarity with the data vault 2.0 data design will be a plus
• Strong experience in data engineering, ETL/ELT, Informatica, DataStage or equivalent tools
• Expertise in RDBMS, complex SQL, PL/SQL or equivalent scripting, Unix Shell scripting, Python and performance tuning.
• Working experience in data engineering for Snowflake DB; ingesting data, creating native stored procs for data preparation, creating views and dynamic tables, streams will be preferred
• In-depth knowledge of advanced Snowflake concepts, including resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, zero-copy cloning, and time travel features will be preferred
• Experience in Azure cloud services such as Azure ADF, Azure DevOps, LogicApp, Azure Functions etc.
• Experience in managing data security, access controls, and designing secure data solutions.
• Experience with Agile development methodologies and a track record of successfully delivering projects in an Agile environment.
• Familiarity with modern data architectures, data lake, data fabric, data mesh etc.
• Familiarity with data visualization tools such as Power BI etc.
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Perform root-cause analysis to identify and troubleshoot recurring technical issues.
Modify software codes to resolve errors, adapt to new hardware and software, enhance performance, and upgrade interfaces."
Implementation-"Collaborate with technical teams to validate configurations, facilitate integration of new applications, and address dependencies during deployment.
Prepare user training documents and related frameworks to ensure smooth adoption new applications and minimize transition risks."
Mandatory Skills: Snowflake Data Engineering.
Key Skills for This Role
Full Job Posting
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
Job Description
Role Purpose
The purpose of this role is to facilitate application solutions by developing and reviewing module-level codes, creating replication patterns, performing root cause analysis to identify recurring issues and collaborating with internal and external stakeholders to ensure stable, well-documented deliverables that meet business objectives.
͏
Key skills
- Strong Experience in Snowflake Cloud DB
- 5+ Years of experience working in large data warehousing projects, implementing data warehouses, data marts, ETL, BI solutions etc.
- Strong understanding of dimensional design techniques, star and snowflake schemas, building facts, dimensions, implementing SCD, various types of facts and dimensions etc.
- Familiarity with the data vault 2.0 data design will be a plus
- Strong experience in data engineering, ETL/ELT, Informatica, DataStage or equivalent tools
- Expertise in RDBMS, complex SQL, PL/SQL or equivalent scripting, Unix Shell scripting, Python and performance tuning.
- Working experience in data engineering for Snowflake DB; ingesting data, creating native stored procs for data preparation, creating views and dynamic tables, streams will be preferred
- In-depth knowledge of advanced Snowflake concepts, including resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, zero-copy cloning, and time travel features will be preferred
- Experience in Azure cloud services such as Azure ADF, Azure DevOps, LogicApp, Azure Functions etc.
- Experience in managing data security, access controls, and designing secure data solutions.
- Experience with Agile development methodologies and a track record of successfully delivering projects in an Agile environment.
- Familiarity with modern data architectures, data lake, data fabric, data mesh etc.
- Familiarity with data visualization tools such as Power BI etc.
͏
͏
͏
Perform root-cause analysis to identify and troubleshoot recurring technical issues. Modify software codes to resolve errors, adapt to new hardware and software, enhance performance, and upgrade interfaces."
Implementation-"Collaborate with technical teams to validate configurations, facilitate integration of new applications, and address dependencies during deployment. Prepare user training documents and related frameworks to ensure smooth adoption new applications and minimize transition risks."
Mandatory Skills: Snowflake Data Engineering .
Experience: 5-8 Years .
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
About Wipro
Wipro is an Indian technology services and consulting company that helps organizations with digital transformation through offerings in cloud, cybersecurity, data and analytics, artificial intelligence, applications, and engineering.
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