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
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 management of an engagement lead
Contribute to real-time data processing solutions and manage 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
Requirements
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
Tech Stack
ETL
Benefits
Exciting projects with great clients in varying departments and verticals across the world
Ability to work closely with experienced data engineers and quickly grow and expand your skillset
Workplace where you are encouraged to challenge the status quo and develop new technologies, methodologies, and processes
Diverse team consisting of data gurus, experience seekers, and entrepreneurial minds that are always pushing to be better