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Senior Data Engineer at MS Companies

Senior Data Engineer

MS Companies

United States of Americasenior4 hours ago

Full Timehybrid1-3Years
$147,818/year

Job Description

We are seeking a Senior Data Engineer to join our mission-driven team, where you will play a pivotal role in designing and implementing robust data solutions that transform the way we leverage data for strategic decision-making. Your expertise will directly impact our ability to innovate and improve processes within the infrastructure and construction materials sector. In your day-to-day work, you will utilize cutting-edge technologies including Databricks, Snowflake, and Azure to develop and optimize ETL processes and data warehousing solutions. Your strong skills in Python, SQL, and data modeling will be essential as you collaborate with cross-functional teams in an Agile environment to manage big data projects that drive significant business outcomes. You will join a dynamic team of data professionals who are committed to continuous learning and growth. Opportunities for mentorship and professional development will empower you to expand your skill set and advance your career while making meaningful contributions to our initiatives. This role stands out as it combines technical challenges with the chance to influence key business strategies. Here, you will not only build scalable data solutions but also contribute directly to our mission of enhancing operational efficiency and delivering value to our clients.

Responsibilities

Design scalable data pipelines using Databricks and Azure for optimal performance. Build robust data models leveraging Snowflake to enhance data accessibility. Lead ETL processes to ensure timely and accurate data integration across systems. Architect data warehousing solutions that support big data analytics initiatives. Drive agile methodologies in data engineering projects to improve collaboration and efficiency. Implement Python scripts for data transformation and automation of workflows. Collaborate with stakeholders to define data requirements and improve data usability.

Key Skills

SQL
15%
Azure
15%
Python
15%
Snowflake
15%
Databricks
15%

Benefits

Competitive salary and comprehensive health benefits for you and your family. Flexible health spending accounts to support your wellness and medical needs. Generous remote work policies to promote work-life harmony. Paid time off to recharge, including vacation and personal days. Opportunities for professional development and training to enhance your skills. Access to industry conferences and workshops for continuous learning. Cultivating an inclusive culture that values diversity and collaboration. Fun team-building events and perks that boost workplace morale.

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