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Senior/Lead Big Data Engineer at Unisys

Senior/Lead Big Data Engineer

Unisys

Tysons Corner, VAsenior3 weeks ago

Full Timehybrid1-3Years
$105,307/year

Job Description

Join us as a Senior/Lead Big Data Engineer, where you'll drive innovative data solutions and tackle complex challenges that will shape our data landscape. This is your chance to lead a dynamic team in a hybrid work environment, making a significant impact while collaborating with like-minded professionals who are passionate about data excellence. In your day-to-day role, you'll leverage your expertise in Big Data technologies, Python, and Spark to build robust data pipelines that ensure data quality and integrity. You'll communicate effectively with cross-functional teams to solve problems and optimize data processes, utilizing your analytical skills and SQL knowledge to deliver actionable insights. Your ability to navigate complex data environments will be key to driving our projects forward. You'll be part of a vibrant team that values growth and continuous learning. We offer ample opportunities for professional development, mentorship, and career advancement, so you can elevate your skills and take on new challenges within our organization. This role is unique because it combines technical leadership with the opportunity to influence data strategy at a high level. Your contributions will directly impact our business outcomes, making this a rewarding place for ambitious data engineers who want to make a difference.

Responsibilities

Design and implement scalable big data solutions using Spark and SQL technologies. Build robust data pipelines ensuring data quality and integrity from diverse sources. Lead cross-functional teams to identify and solve complex data challenges effectively. Architect data frameworks that enhance analytical capabilities and drive business insights. Drive data governance initiatives to maintain high standards of data integrity. Collaborate with stakeholders to understand their data needs and deliver tailored solutions. Evaluate and optimize existing data processes to improve performance and efficiency.

Key Skills

Spark
20%
Python
20%
SQL
15%
Big Data
15%
Data Pipelines
10%

Benefits

Competitive salary package with comprehensive health benefits for you and your family. Flexible working hours and remote work options to support your work-life balance. Access to training programs and certifications for continuous professional development. Opportunities for career advancement within a dynamic and innovative company. Inclusive company culture that values diversity and encourages new ideas. Fun office perks, including team events and wellness initiatives to boost morale.

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