Job Summary The Engineer Consultant plays a critical role in the implementation of Enterprise Data Management (EDM) Solutions for EXL Data Management. 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. This is a business-facing role in which the consultant will work independently and collaboratively with internal and client teams to ensure project success. 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. Essential Duties (60%) Analysis/Development/Testing - 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 (30%) Communication/Organization/Documentation/Leadership - Leads collaboration and ensures success with multi-shore delivery team - Collaboratively drafts detailed documentation (i.e., Design Specs, Test Plans, etc.) that have a professional appearance - Assists in producing detailed and comprehensive documentation for testing and deployment activities. - Deals effectively with all team members and builds strong working relationships/rapport with them - Demonstrates ability to organize tasks and time necessary to complete assigned tasks/deliverables - Coordinates with Project Managers and Leads to help drive project planning - Perform feasibility analysis, scoping exercises, and works with the project manager to prioritizes deliverables - Leads the data engineering aspect of projects for the enterprise, including hands on delivery - Leads the software development team during the design, build, test, support phases - Directs and implements data integration processes, including data capture, testing and validation methods - Prioritizes and organize multiple tasks providing direction, tools, technical and process support to less senior developers - Provides appropriate training, mentoring and support for Data integration tools to the developers - Provides proactive technical oversight and advice to integration architect and development team - Assists developers, analysts, and designers in conceptualizing and validating solutions that meet business requirements - Aligns data architecture plans with strat