Senior Data Scientist - Data Engineering

Mastech Digital • United State
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AI Summary

Lead data initiatives, design and implement data platforms, and mentor junior engineers. Optimize data workflows, communicate with stakeholders, and stay up-to-date with latest technologies.

Key Highlights
Lead data initiatives and platform capabilities
Optimize data workflows and systems
Mentor junior data engineers
Technical Skills Required
Python SQL Spark/Pyspark AWS Azure Airflow Databricks Tableau Power BI
Benefits & Perks
W2 Contract
H1b transfer and Day GC filing
Pre-approved groups

Job Description


Welcome to Mastech Digital, a leading digital first company that empowers global corporations through innovative digital transformation services. Mastech Digital (NYSE American: MHH) is a leading provider of Digital Transformation services with Data driven Innovation. We offer Technical staffing services, H1B sponsorship, Day 1 green card filings with our pre-approved groups.

I appreciate your time and effort to consider Mastech Digital as a valuable employer for you to present your candidature at the client’s end.

About Mastech Digital Inc : https://www.mastechdigital.com/


Job Title: Data Scientist

Location: Irving, TX (Onsite)

Job type: W2 Contract with Mastech Digital (No C2C/No CTH/No 1099)


Open for H1b transfer & Day GC filing


Key Responsibilities:

  • Lead the design, architecture, and implementation of key data initiatives and platform capabilities while ensuring alignment with business needs and scalability requirements.
  • Optimize existing data workflows and systems to improve performance, cost-efficiency, identifying and guiding teams to implement innovative solutions.
  • Lead and mentor junior data engineers, providing guidance on technical best practices, career development, and initiative execution.
  • Lead cross-functional projects, collaborating with product managers, analysts, solutions architects, and other stakeholders to define requirements, prioritize tasks, and deliver high-quality solutions.
  • Communicate effectively with non-technical stakeholders to understand business needs, translate them into technical specifications, and present technical concepts in a clear and concise manner.
  • Stay up-to-date with the latest data engineering technologies, trends, and best practices, evaluating and recommending new tools and approaches to immediate teams and the broader organization.
  • Contribute to the development of data engineering standards, processes, and documentation, promoting consistency and maintainability across teams while enabling business stakeholders.

Basic Qualifications:

  • Bachelor’s degree or equivalent in Computer Science, Mathematics, Software Engineering, Management Information Systems, Computer Engineering/Electrical Engineering, or any Engineering field or quantitative discipline such as Physics or Statistics.
  • Minimum 6 years of relevant work experience in data engineering, with at least 2 years in a data modeling.
  • Strong technical foundation in Python, SQL, Spark/Pyspark and experience with cloud platforms (for example, AWS, Azure,).
  • Deep understanding of data engineering fundamentals, including database architecture and design, Extract, transform and load (ETL) processes, data lakes, data warehousing, and both batch and streaming technologies.
  • Experience with data orchestration tools (e.g., Airflow), data processing frameworks (e.g., Spark, Databricks), and data visualization tools (e.g., Tableau, Power BI).
  • Proven ability to lead a team of engineers, fostering a collaborative and high-performing environment.
  • Good communication, interpersonal, and presentation skills, with the ability to effectively communicate with both technical and non-technical audiences.

Extra Credit:

  • Experience with Databricks platform.
  • Experience with CDP platforms like HighTouch.


Madhuri N. she/her

Recruiter

Nouduru.madhuri@mastechdigital.com

https://www.linkedin.com/in/madhuri-n-4754021aa/

www.mastechdigital.com


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