Note: The job is a remote job and is open to candidates in USA. Lovelytics is a consulting firm that specializes in modernizing data for complex enterprises across various industries. The Lead Consultant, Data Engineer will be responsible for client engagements related to data warehousing, ETL development, and data modeling, utilizing technologies like Databricks, AWS, and Azure.
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
- Deep understanding of SAP ERP (ECC or S/4HANA) data architecture, specifically utilizing it as a source system with strong knowledge of its underlying tables and business processes
- Strong background in SAP data and integration technologies, specifically with at least one of the following: SAP Datasphere, SAP BW, SAP HANA, or SAP BDC
Skills
- 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
- Deep understanding of SAP ERP (ECC or S/4HANA) data architecture, specifically utilizing it as a source system with strong knowledge of its underlying tables and business processes
- Strong background in SAP data and integration technologies, specifically with at least one of the following: SAP Datasphere, SAP BW, SAP HANA, or SAP BDC
- 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
- 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
Benefits
- 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
Company Overview
Lovelytics is a data, AI, and analytics consulting firm, with a focus on Databricks and the surrounding ecosystem It was founded in 2017, and is headquartered in Arlington, Virginia, USA, with a workforce of 501-1000 employees. Its website is https://lovelytics.com/.