Senior Data Engineer @ MTX Group | Jobright.ai
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MTX Group · 3 hours ago

Senior Data Engineer

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Alexandra Bidgood
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Responsibilities

Ensure effective collaboration and execution throughout all phases of 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 technical design documents outlining the architecture, data model, and implementation details of Salesforce solutions
Responsible for data model, and 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 PDMs in performance documentation of project team members.
Contribute to the development of COE with relevant deliverables and assets.
Maintenance of Certifications, required to travel for key project milestones, maintain utilization goals.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data EngineeringSQLPythonSnowflakeETL toolsAWSGCPMicrosoft AzureData ProtectionData LoaderREST APIsSOAP APIsMuleSoftJitterbitInformaticaData GovernanceData QualityDimensional ModelingVersion Control SystemsCI/CD Pipelines

Required

5-8 years of experience working with Analytics and Data Engineering teams with a mixed data engineering and analytics background, with a minimum of 3 years working in a consulting environment.
5-8 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, interpersonal skills with a user centric approach to problem solving.
Ability to work collaboratively in a team environment and manage multiple stakeholders.

Preferred

Bachelor's degree and above is desirable.

Benefits

Health (medical, dental, vision) benefits
401k

Company

MTX Group

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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 Stage

Leadership Team

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Das Nobel
Founder & CEO
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Nipa Nobel
Co-founder & Chief Marketing Officer
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Company data provided by crunchbase
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