Azure Data Tech Lead

Position: Azure Data tech Lead

Location: Dunwoody, GA (onsite 2+ days/week)

Duration: CTH

Interview Process: 3 rounds

Independent visa

Day to Day:

Direct client is looking for a Data Tech Lead to join their team in the Sandy Springs, GA area. This Data tech lead will bring substantial experience in data solutions to help navigate the abilities of their data for the internal stakeholders. As a Data tech Lead you will handle the increasing complexity and demand for data from various sources, enabling business to make informed decisions. You will provide technical leadership to team of ETL developers in designing and implementing a cutting-edge data platform and pipelines. Data tech lead will also work closely with business analysts and stakeholders in other departments to identify, recommend, develop, implement, and support data solutions. On average, you will be dedicated to management 50% of the time and hands-on contributor 50%.

Must Have:

• 10+ years of ETL / ELT Design, development and implementation experience using standard ETL/ ELT tool
• 10+ years of SQL Development Experience
• Ideally using SQL Server 2014 – SQL Server 2019 and understand SQL Server Integration Services
• 7+ years of experience defining and managing ETL / ELT using tools and industry standard practices.
• 3+ years of Azure experience
• Working with Azure Data Factory, PowerBI, Fivetran
• 4+ years of Snowflake experience
• Hands-on and deep experience using Star/Snowflake for schema design, data modeling, data pipelines.
• 3+ years of SQL Server Reporting Services
• Experience leading, coaching, and providing mentorship to ETL developers in an agile environment.

Plus:

• Experience being a lead is preferred but someone stepping into a formal lead for the first time is also acceptable
• Experience working in an SAP Migration environment

Job Type: Contract

Pay: $80.00 - $95.00 per hour

Expected hours: 40 per week

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Referral program

Experience level:

• 11+ years

Schedule:

• 8 hour shift

Experience:

• Data entry: 9 years (Preferred)

Work Location: On the road