Manager – Data Engineering

Company Description

BLEND360 is an award-winning, new breed Data Science Solutions Company focused on powering exceptional results to our Fortune 500/1000 clients and other organizations. We are a hyper growth company – born at the intersection of advanced analytics, data and technology.

BLEND360 is focused on their world-class people that help clients optimize business performance through data, technology and analytics.

BLEND360 has more than 900+ employees with offices in NYC, MD, CO, CA, Uruguay, Netherlands, UK and India. Blend360 continues to be one of the fastest growing companies, making the Inc. 5000 every year they have been in business. BLEND360 is known for our exceptional people, our get-it-done mentality, and delivering high impact and sustainable results. If you love to solve difficult problems and deliver results; if you like to learn new things and apply innovative, state-of-the-art methodology, join us at Blend360 

Job Description

We are seeking a dynamic and experienced Data Engineering Manager to join our team. The ideal candidate will be responsible for leading a team of data engineers to design, develop, and implement data pipelines. The Data Engineering Manager will play a pivotal role in understanding and translating business requirements into actionable insights, while leveraging their strong technical expertise in Hadoop, Python/Scala, Spark, SQL, DBT, Airflow and Big Data solutions.

Key Responsibilities:

• Quickly grasp and translate business requirements into technical solutions.
• Conduct data analysis to derive meaningful insights and drive decision-making.
• Lead the design and development of robust data pipelines in on-premises and cloud.
• Demonstrate expertise in Spark and SQL for efficient data processing and analysis.
• Foster strong communication and collaboration within the team and with stakeholders.
• Provide effective team and technical management to ensure project success.
• Implement Agile project management methodologies for efficient project delivery.
• Showcase excellent client-facing experience, delivering high-quality solutions that exceed expectations.
• Hands-on experience with Big Data solutions, handling large volumes of data with ease.
• Exhibit problem-solving skills by thinking of alternative solutions when faced with challenges.
• Offer valuable suggestions and guidance to team members to foster growth and development.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.Minimum of 6 years of experience in data engineering roles, with a focus on designing and implementing data pipelines.
• At least 2 years of experience in a leadership role, leading a team of data engineers.
• Strong proficiency in Spark, SQL, and other relevant Big Data technologies.

Additional Information

All your information will be kept confidential according to EEO guidelines.