MTX Group · 1 day ago
Lead Data Engineer
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Responsibilities
Collaborate with clients to understand their business processes, needs, and pain points.
Facilitate working sessions with key stakeholders - Functional Managers, Technical Managers, PMO, VP, CP and subject matter experts.
Responsible for ensuring alignment between project deliverables and the client's strategic business goals.
Establish engagement and operating model with various stakeholders utilizing MTX Delivery Methodology and Gold Standards.
Lead and ensure effective collaboration and execution of best practices throughout development, testing, and deployment.
Manage changes to Data pipelines and structured databases and collaborate with other developers in a team environment to ensure security best practices and code optimization.
Ensure project timelines are met in collaboration with the PMO and Functional workstream.
Create comprehensive system design documents outlining the architecture, data model, and implementation details.
Lead data management tasks, such as data import/export, data mapping, data cleansing, data migration, and data manipulation using Data Loader or other ETL (Extract, Transform, Load) tools.
Configure the data warehouse Snowflake, databricks.
Automate development processes, including continuous integration, deployment, and release cycles.
Ensure deliverables meet quality standards by conducting code reviews with a focus on identifying potential issues and ensuring code quality.
Investigate, debug, and resolve defects found during testing phases.
Work closely with the functional team to integrate testing into the development process and resolve issues.
Ensure execution of UAT with stakeholders to make sure the solution meets final expectations and system specifications.
Lead data sequencing and data integration orchestration across multiple distributed systems.
Provide ongoing support after deployment, addressing system issues and optimizing performance.
Provide mentorship and guidance to the project, fostering their professional growth and development within the team.
Stay up-to-date with the latest trends, technologies, and best practices in the field, lead Continuous improvement of development processes and procedures, participate in the hiring process to identify top talent for the projects, support Directors, VPs and PDM in talent development in the region by identifying relevant training programs for focused groups, and responsible for performance documentation of team members in collaboration with PDM(s).
Collaborate with top talent across various work streams to support development of best practices, create cutting-edge solutions, and set industry standards, and foster a culture of continuous improvement and thought leadership, ensuring our organization remains at the forefront of technological advancements and market trends.
Maintenance of Certifications, required to travel for key project milestones, maintain utilization goals.
Qualification
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Required
Expert in using Microsoft Power BI
7-10 years of experience working with Analytics and Data Engineering teams with a mixed data engineering and analytics background, with a minimum of 5 years working in a consulting environment.
7 - 10 years of experience in scalable data architecture, fault-tolerant ETL, and monitoring of data quality in the cloud.
Proficient in Security & Permissions like Data Protection, Managing access etc.
Proficiency in implementing data security measures, access controls, and design specifically within the Snowflake platform.
High Proficiency in: SQL, Python, Dimensional Modeling, Data pipeline development, workflow management, Snowflake or other column-oriented and cloud-based databases.
Experience with AWS, GCP, or Microsoft Azure
Expert in version control systems like Git, Bit bucket, CI/CD pipelines, sandbox management, and coordination with cross functional teams to ensure efficient, reliable, and timely delivery of high-quality applications.
Proficient in translating business requirements into technical specifications, defining integration points, and documenting customizations, ensuring clarity and alignment among stakeholders for successful implementation.
Expert in understanding data model, data management tasks, such as data import/export and data manipulation etc. using Data Loader or other ETL (Extract, Transform, Load) tools.
Proficient in integration techniques and tools to integrate SaaS applications with other systems and applications (REST and SOAP APIs, Salesforce Connect, and middleware platforms like MuleSoft, Jitterbit or Informatica).
Experience providing training and support to clients and end users on implemented technical solutions, best practices, and usage of system functionalities.
Strong communication, presentation, and interpersonal skills with a user-centric approach to problem solving.
Ability to work collaboratively in a team environment and manage multiple stakeholders.
Bachelor's degree and above is desirable.
Benefits
Health (medical, dental, vision) benefits
401k
Access to the leadership team
The chance to work in a fast-paced environment with experienced industry leaders
A learning environment where you can dive deep into the latest technologies and make an impact
Monthly All Hands company meeting
Company
MTX Group
MTX Group is a global technology consulting firm that enables organizations to modernize through digital transformation and strategy.
H1B Sponsorship
MTX Group has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (15)
2022 (22)
2021 (29)
2020 (10)
Funding
Current Stage
Late StageRecent News
2024-05-24
Dallas Innovates
2024-05-23
Company data provided by crunchbase