Lovelytics is a Databricks-focused data and AI consulting firm specializing in artificial intelligence, data, and analytics solutions. Since partnering with Databricks in 2019, Lovelytics has experienced exponential growth, growing from 50 people to over 340 over the past 3 years. Lovelytics is a trusted partner for many of the most high-profile enterprise clients in Media & Entertainment, Manufacturing, Retail & CPG, Healthcare & Life Sciences, and Financial Services.
Lovelytics is seeking a Sr. Data Engineer (Lead Consultant) with experience delivering strategic Databricks client engagements to join our Data & AI practice!
This Lead Consultant will play a key role in delivering on client engagements related to data warehousing, ETL development, SAP, data integrations, and data modeling. This is a client-facing role, focused on using and migrating to our partner technologies; Databricks, AWS, and Azure to name a few. In addition to the technical capabilities for this role, we are looking for someone who wants to work in a collaborative, dynamic, and inclusive environment and has a passion for bringing meaning to data.
This role is open to remote candidates in the US.
This role is not open for work sponsorship at this time.
Primary Responsibilities:
- 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.
- Hands on experience working with SAP data at the table level
- Strong understanding of SAP data structures and relationships, beyond ETL tooling
- Ability to interpret SAP data in the context of underlying business processes
Our Ideal Candidate's Skills and Experiences:
- B.S. in Computer Science or equivalent
- 3-5 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
- SAP S/4HANA or SAP HANA
- 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
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.
