Note: The job is a remote job and is open to candidates in USA. Lovelytics is a company that modernizes data and applies AI for enterprises across various industries. They are seeking a Principal Consultant, Data Engineer to deliver on client engagements related to data warehousing and ETL development, while collaborating with team members and utilizing partner technologies.
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
Skills
- 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
- 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
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
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