Lead Consultant, Data Engineer

• Utilize consulting and technical skills to be able to work in a client-facing project environment independently.
• Be responsible for your own execution and sometimes lead individual work streams on client engagements as assigned and under supervision of engagement lead.
• Collaborate with other team members to successfully deliver on projects.
• Work effectively and directly communicate with both internal and client and/or partner teams.
• Develop full ownership of your execution on client engagements, you'll become involved in the project planning and solution stages of engagements as well.
• Design and implement complex ETL/ELT pipelines with evidence of improved data processing times.
• Successfully lead small data warehousing projects with measurable performance enhancements under the management of an engagement lead.
• Contribute to real-time data processing solutions and managed streaming data.
• Implement security and compliance measures for data pipelines.
• Design and implement version control and branching strategies and integrate them into CI/CD for promoting and testing in higher environments.

Our Ideal Candidate's Skills and Experiences

• B.S. in Computer Science or equivalent
• 3+ years' experience in data engineering and big data. At least 2 years working directly with clients and external stakeholders.
• Extensive knowledge of data warehousing concepts and hands-on experience deploying pipelines using Databricks **A must
• Data modeling and database design skills and knowledge of version control
• Excellent verbal and written communication skills
• Is able to apply technical skills to engagement needs
• Works with engagement leads and directors to gain exposure in the design and architecture of solutions
• Understands and utilizes Lovelytics tools and client tools

What We Promise You

• Exciting projects with great clients in varying departments and verticals across the world
• The ability to work closely with experienced data engineers and quickly grow and expand your skillset
• The ability to work closely with all sizes of companies, ranging from Fortune 100 to small local businesses
• A workplace where you are encouraged to challenge the status quo and develop new technologies, methodologies, and processes
• A diverse team consisting of data gurus, experience seekers, and entrepreneurial minds that are always pushing to be better
• Compensation is determined based on a variety of factors including, but not limited to, relevant experience, skills, qualifications, scope of role and budget.
• Candidates are not guaranteed to be placed at any particular point within the range, and most offers will fall within the middle of the range or below.
• Lovelytics is committed to pay equity and transparency in compensation practices.

Lovelytics is an Equal Opportunity Employer. This means you don’t have to worry about whether your application process will be fair. We consider all applicants without regard to race, color, religion, age, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, veteran status, or disability.