Qualifications:

• 3+ years of experience in working with data engineering in an enterprise company
• Must have a minimum of a Secret Clearance
• Very strong experience in SQL, dimensional modeling, supporting data warehouse, scaling and optimizing, performance tuning and ETL pipelines
• Good knowledge of reporting tools such as MicroStrategy, Cognos, Tableau with understanding of different types of reporting, storytelling using visualization
• Experience in setting up and delivering cloud-based Data lakes, Analytics Platform and Warehouse solutions (AWS, Azure etc.)
• Understanding of serverless and Microservices architecture (e.g. AWS Lambda)
• Deep understanding of relational as well as big data setup, Experience with cloud platforms such as Databricks, Snowflake, ETL tools (e.g. Informatica), Hive, Presto, Dimensional Modeling.
• Proficiency with programming languages (e.g. Python)
• Ability to work on multiple areas like Data pipeline ETL, Data modeling & design, writing complex SQL queries etc.
• Passionate about various technologies including but not limited to SQL/No SQL/MPP databases etc

ROLE & RESPONSIBILITIES:

• Design and develop data pipelines on data heavy tech environments (data warehouse, ETL and BI tools)
• Partner with data architects, data scientists, domain experts, data analysts and other teams to build foundational data sets that are trusted, well understood, aligned with business strategy and enable self- service
• Be an expert of the overall strategy for data governance, security, privacy, quality and retention that will satisfy business policies and requirements
• Own and document data pipelines and data lineage

Qualifications:

• 3+ years of experience in working with data engineering in an enterprise company
• Must have a minimum of a Secret Clearance
• Very strong experience in SQL, dimensional modeling, supporting data warehouse, scaling and optimizing, performance tuning and ETL pipelines
• Good knowledge of reporting tools such as MicroStrategy, Cognos, Tableau with understanding of different types of reporting, storytelling using visualization
• Experience in setting up and delivering cloud-based Data lakes, Analytics Platform and Warehouse solutions (AWS, Azure etc.)
• Understanding of serverless and Microservices architecture (e.g. AWS Lambda)
• Deep understanding of relational as well as big data setup, Experience with cloud platforms such as Databricks, Snowflake, ETL tools (e.g. Informatica), Hive, Presto, Dimensional Modeling.
• Proficiency with programming languages (e.g. Python)
• Ability to work on multiple areas like Data pipeline ETL, Data modeling & design, writing complex SQL queries etc.
• Passionate about various technologies including but not limited to SQL/No SQL/MPP databases etc.

Want to learn more about SC&E Check us out on our platform: http://www.wwt.com/consulting-services-careers

The well-being of WWT employees is essential. So, when it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees:

• Health and Wellbeing: Health, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness Program
• Financial Benefits: Competitive Pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Tuition Reimbursement
• Paid Time Off: PTO & Holidays, Parental Leave, Sick Leave, Military Leave, Bereavement
• Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount Program

LI-WWTACRIDER #LI-Remote

Requirements:

WHAT WILL YOU BE DOING?

World Wide Technology is hiring for its Data Engineer - Business and Analytics Advisors (BAA) position!
The Business & Analytics Advisors team makes up the management consulting group of World Wide Technology that is hyper-focused on providing analytical business outcomes for our clients. The team takes on the most challenging problems our customers face and provide innovative solutions that involve data strategy, analytical modeling, data governance, AI/ML platforms, and enterprise architecture strategy.
Description:
As a Data Engineer, you will collaborate with a multi-disciplinary team of solution architects, engineers and data scientists on a wide range of business problems. You will be integral part of Business & Analytics Advisory group who are a team responsible for building out capabilities and service offerings across business strategy, Big Data/analytics and Cloud. You will be working with account teams to sell and deliver these solutions to customers. We majorly work on providing big data solutions to a wide range of fortune 200 customers in oil & gas, mining, healthcare, financial services and retail industry