Data Engineering Consultant
Duration: 6 months plus -possible extension
Hours: Standard CST - will be required to work with global teams.
Must be W2. Must Haves: 10 - 12 years of relevant IT experience in Data-Warehousing Technologies with excellent communication and Analytical skills, Comfortable with ETL concepts, along with Hands on experience with technologies like SSAS and PowerBI, Experience working with Teradata/Oracle/SQL Server/Greenplum as data warehouse databases, SQL (DDL, DML, procedural), Hands on experience on change capture and ingestion tools – StreamSets, Informatica, Excellent knowledge in scheduling tools like Control-M, Strong experience in Source code repositories like Git, SVN and Jenkins, Ability to discuss and defend Architectural decisions with team of strong technical architects and analytical and problem-solving skills.
Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What’s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.
Join us to do the best work of your career and make a profound social impact as a Consultant on our Data Engineering team.
What you’ll achieve:
As a Consultant, Data Engineering, you will work with our Enterprise Data Customers on Data optimization and best ways to provide the right data in right time.
Responsibilities:
-Design and develop analytical design for business problem statement and progress the solution from design though the software development lifecycle to implementation using various analytics tools and techniques
-Analyzes business needs and creates software and hardware solution blueprints
-Work closely with Data Product Managers and Solution Architects to define use cases and measurable business metrics
-Works with engineering teams to check the feasibility of the solution, build stories and architects the solution for the Projects
-Drives use cases through complete lifecycle
-Prepares flow charts, systems diagrams and design documentation to assist in problem analysis
-Designs, codes, tests and debugs software according to Dell’s standards, policies and procedures
-Mentoring junior team members on technical and functional skills
-Should be a technical lead for the team and a great team player
-Functional knowledge of business processes is required
Requirements:
•10 - 12 years of relevant IT experience in Data-Warehousing Technologies with excellent communication and Analytical skills
•Comfortable with ETL concepts, along with Hands on experience with technologies like SSAS and PowerBI
•Experience working with Teradata/Oracle/SQL Server/Greenplum as data warehouse databases, SQL (DDL, DML, procedural)
•Hands on experience on change capture and ingestion tools – StreamSets, Informatica
•Excellent knowledge in scheduling tools like Control-M
•Strong experience in Source code repositories like Git, SVN and Jenkins
•Ability to discuss and defend Architectural decisions with team of strong technical architects and analytical and problem-solving skills
Desirable Requirements:
•Understand Dev and Test process E2E
•Understands Data Architecture, data profiling, data quality
•Adheres to standards, Audits and Tie Outs
•Understands DevOps, CI/CD, DataOps
•Knowledge on Kafka and Oracle GoldenGate
•Bachelor of Engineering or Master of Computer Applications
•Experience in working in Agile (SCRUM) Methodology