Description

Job Description

The Data Engineer Senior Consultant plays a critical role in the implementation of Enterprise Data Management (EDM) Solutions for Datasource Consulting/EXL Clients. They are responsible for setting the development standards and best practices, and may be required to assist with requirements gathering/analysis, development, testing, documentation, and deployment tasks. The Data Engineer Senior Consultant should have practical experience developing EDM solutions, strong working knowledge of the technologies listed below, and an eagerness/ability to learn and train on new technologies. You will have the opportunity to engage with clients utilizing all aspects of a Data Management organization including Data Governance, Data Quality, MDM, and Business Intelligence. You will also be working closely with Cloud, Big Data, Data Modeling, and Project Management consultants. You must be able to fill different positions in multi-functional and multi-shore project teams.

Responsibilities

• Leads the software development team during the design, build, test, support phases
• Evaluates the introduction of new technologies and implements solutions and enterprise data integration strategies
• Provide analysis and recommendations to overall data strategies and roadmaps
• Partners with Solution Architects to perform source system analysis, identification of key data issues, data profiling and development of normalized and star-snowflake physical schemas
• Leads engineering teams and guides members in best practices for data movement, data quality, master data management (MDM), data masking, data sub-setting and/or data virtualization development (collectively referred to as data integration and data management activities)
• Drives the technical design, installation & configuration, development, optimization, error handling and support of data management initiatives for customer engagements
• Installs and configures software in on-premises and cloud environments
• Ensures the compliance of project team to development, naming and coding standards
• Creates and implements scheduling strategies for data management processes
• Administers and supports data management environments and repositories
• Works with business partners to review prototypes and develop iterative revisions
• Oversees and performs troubleshooting and provides resolutions for reporting issues
• Works closely with and assists other consultants, provides leadership, and collaborates with clients to understand and interpret data through stakeholder interviews and by defining, analyzing, and validating data
• Develops appropriate tool development guidelines and documentation
• Evaluates and tests new tools and technologies. • Develops and executes test cases/plans to ensure high-quality releases, based on test driven development using industry best practices such as Gherkin
• Defines data pipeline orchestration and subsequently automates code deployments or mentors junior team members to automate the deployments using tools such as Apache Airflow, Control-M, or Autosys
• Performs data management development tasks in areas of data movement, data quality, MDM, business intelligence, etc. - DQ, data architecture, etc.? • Supports testing, root cause analysis, bug fixing and deployment activities
• throughout the data lifecycle
• Assists with infrastructure and capacity planning
• Assist with the development and enforcement of integration standards

Qualifications

• 7+ years of experience in a Data Management/Engineer role
• 5+ years of consulting experience strongly preferred
• 3+ years of experience leading offshore teams
• Practical experience in at least 3 of the following areas: o Data Integration/Movement o Business Intelligence o Data Quality o Cloud Platforms o Master Data Management o Big Data o Data Governance o Business and Data Analysis o Data Modeling o Quality Assurance o Project Management o Machine Learning o Advanced Analytics
• Experience with developing and supporting data management environments utilizing tools such as Tableau, Power BI, TIBCO, MSBI, Informatica, and Databricks
• Experience with or ability to learn modern data platforms involving AWS, Azure, GCP, Snowflake, Denodo, etc. Ability to learn MDM platforms,
• Experience with Informatica MDM, Orchestra EBX, or similar tools a plus
• Bachelor Degree or Equivalent
• Excellent organizational and analytic abilities
• Outstanding communication and people skills
• Effective decision-making skills