Lead Data Engineer (Looker, Snowflake, PostgrSQL)

UKG

4.7

(112)

India

Why you should apply for a job to UKG:

Ranked as one of the Best Companies for Women in 2023

4.7/5 in overall job satisfaction

4.8/5 in supportive management

96% say women are treated fairly and equally to men

99% would recommend this company to other women

94% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members.

Paid leave for new and adoptive parents, medical coverage for IVF services & reimbursement to help offset adoption and surrogacy expenses.

45% company match on total employee 401(k) contributions up to the IRS annual limit.

Unlimited paid time off for you to rest, re-charge, and pursue your personal aspirations.

#893378465664

Position summary

Our inclusive culture, active and engaged employee resource groups, and caring leaders value every voice and support you in doing the best work of your career. If you're passionate about our purpose - people -then we can't wait to support whatever gives you purpose. We're united by purpose, inspired by you.

Job Description:
We are looking for an experienced Senior Data Engineer to join our Data and Analytics team . As a Senior Data Engineer, you will be responsible for designing, implementing, and maintaining scalable data pipelines and infrastructure to support our data-driven initiatives. You will work closely with cross-functional teams to gather requirements, develop data solutions, and ensure data quality and integrity.
Responsibilities:
• Design, develop, and maintain scalable data pipelines and ETL processes to support data analytics and machine learning initiatives.
• Utilize workflow management platforms to orchestrate and automate data engineering pipelines.
• Implement data models and schemas to support data storage, retrieval, and analysis.
• Work closely with data scientists and analysts to understand data requirements and provide data engineering solutions.
• Collaborate with software engineers to integrate data pipelines with existing systems and applications.
• Implement data quality monitoring and validation processes to ensure data integrity and accuracy.
• Optimize data infrastructure and performance to meet scalability and performance requirements.

• 8 to 10 years of experience in data engineering or a related role.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with cloud GCP, and their respective data services (eGoogle BigQuery).
• Solid understanding of data modeling concepts and database technologies (e.g., SQL, NoSQL, relational databases).
• Experience with data warehouse solutions such as Snowflake, Redshift, or BigQuery.
• Experience with workflow management platforms (e.g., Apache Airflow, Luigi, Prefect).

Where we're going

UKG is on the cusp of something truly special. Worldwide, we already hold the #1 market share position for workforce management and the #2 position for human capital management. Tens of millions of frontline workers start and end their days with our software, with billions of shifts managed annually through UKG solutions today. Yet it's our AI-powered product portfolio designed to support customers of all sizes, industries, and geographies that will propel us into an even brighter tomorrow!

UKG is proud to be an equal opportunity employer and is committed to promoting diversity and inclusion in the workplace, including the recruitment process.

Disability Accommodation

For individuals with disabilities that need additional assistance at any point in the application and interview process, please email [email protected]