Big Data Engineering Leader
6 days ago
About Us
Publicis Sapient is a leading digital transformation partner that helps established organizations drive growth and innovation in the digital age. We combine strategy, consulting, and customer experience with agile engineering and problem-solving creativity to unlock value for our clients.
Job Description
We are seeking a Senior Associate Data Engineering L2 to join our team. As a key member of our data engineering group, you will translate client requirements into technical design and implement components for data engineering solutions. You will utilize your deep understanding of data integration and big data design principles to create custom solutions or implement package solutions.
Your Key Responsibilities
- Design, develop, and maintain robust data pipelines in batch and real-time modes using AWS and Snowflake;
- Implement data validation procedures to ensure data accuracy, completeness, and consistency;
- Monitor and troubleshoot data integration issues, ensuring timely resolution and maintaining data integrity;
- Document technical designs, procedures, and processes related to data integration, validation, transformation, and publishing.
Requirements
- 6+ years of overall experience with a minimum of 4 years of relevant experience in Big Data technologies;
- Strong proficiency in AWS services for data integration and transformation (e.g., AWS Glue, Lambda, EKS, ECR, etc.);
- Hands-on experience with Snowflake, preferably Snowflake Data Share for secure data sharing;
- Experience in writing Python and PySpark scripts.
What We Offer
- An estimated salary of $120,000 - $150,000 per year, depending on location and experience;
- 18 paid holidays throughout the year;
- Generous parental leave and new parent transition program;
- Flexible work arrangements;
- Employee Assistance Programs to help you in wellness and well being.
Why Join Us
This is an exciting opportunity to sharpen your skills, expand your collaborative methods, and make an impact on our clients' businesses directly through your work.
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