Senior Principal Consultant

BOUNTY DESCRIPTION Industry: Energy- Utility Job Category: Information Technology- Computer Network Security With a startup spirit and 90,000+ curious and courageous minds, we have the expertise to go deep with the world's biggest brands and we have fun doing it. Now, we're calling you all who see the world differently and are bold enough to reinvent it. • Transformation happens here. Come, and be a part of our exciting journey! • Are you the one we are looking for? • Inviting applications for the role of Senior Principal Consultant- Data Engineering Lead

Role: Senior Principal Consultant- Data Engineering Lead

Location: Remote (Wilkes-Barre, Pennsylvania)

Mode: - Full-time

The Hands-On Data Engineering Lead is responsible for leading a team of data engineers in the design, development, and implementation of data pipelines and data warehouses. The ideal candidate will have a strong understanding of data engineering principles and practices, as well as experience with SQL Server SSIS. The Hands-On Data Engineering Lead will also be responsible for managing the team's workload, mentoring junior engineers, and communicating with stakeholders. Additionally, the Hands-On Data Engineering Lead will be expected to be hands-on with the development and implementation of data pipelines and data warehouses, and to have experience working with stakeholders to develop product backlog grooming, sprint planning data engineering and QA Testing.

Responsibilities:

• Lead the design, development, and implementation of data pipelines and data warehouses.
• Develop and implement data pipelines and data warehouses using SQL Server SSIS
• Troubleshoot data pipelines and data warehouses.
• Communicate with stakeholders to understand their needs and ensure that projects meet their requirements.
• Manage the team's workload and ensure that projects are completed on time and within budget.
• Mentor junior data engineers and help them develop their skills.
• Stay up to date on the latest data engineering technologies and best practices
• Provide support to production teams and QA teams.
• Work with stakeholders to develop product backlog grooming, sprint planning data engineering and QA Testing
• 30% team management and 70% hands-on

Qualifications:

• experience in data engineering
• experience managing a team of data engineers.
• Strong understanding of SQL Server SSIS, Active Batch, T-SQL & Go Anywhere.
• Excellent communication and interpersonal skills
• Strong desire to be hands-on with the development and implementation of data pipelines and data warehouses.
• Experience working with stakeholders to develop product backlog grooming, sprint planning data engineering and QA Testing

The approximate annual base compensation range for this position is $80,000 to $100,000. The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicants experience, knowledge, skills, and abilities; geographic location; and internal equity.Security Clearance Required: NoVisa Candidate Considered: No 

COMPENSATIONBase Salary- USD $135,000 to $160,000

Full-time Benefits- Full

Relocation Assistance Available- No

Commission Compensation- No 

Bonus Eligible- No

Overtime Eligible- No

Interview Travel Reimbursed- No

CANDIDATE DETAILS

10+ to 15 years experience

Seniority Level- Mid-Senior Management Experience Required- No

Minimum Education- Bachelor's Degree

Willingness to Travel- Never

WHY WE'RE A GREAT COMPANYOur Company is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Our Company is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation.