.. GL & IUT Module. Ensure adherence of all the related process, company policies, HR Policies, accounting guidelines etc. Ensure timely closure of all the related payouts as per TAT Ensure closure of all the requirement of internal & statutory auditors without any issue. Contribute towards Cost assurance .. read more
Company Description Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.
Senior Associate Data Engineering Level L2 The Senior Associate People Senior Associate L2 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution
Your Skills & Experience: Overall experience of 6+ years with Minimum 4 years of relevant experience in Big Data technologies 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. Bachelor’s degree and year of work experience of 6 to 8 years or any combination of education, training and/or experience that demonstrates the ability to perform the duties of the position
Required Skills and Experience: 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
Good to have Skills Experience on working on Rest APIs Experience in setting up CI/CD pipelines using terraform or other IaC Optimize data pipelines for performance, scalability, and cost-efficiency.
Benefits of Working Here: Gender-Neutral Policy 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
A Tip from the Hiring Manager: Join the team to sharpen your skills and expand your collaborative methods. Make an impact on our clients and their businesses directly through your work.
Senior Associate Data Engineering Level L2 The Senior Associate People Senior Associate L2 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution
Your Skills & Experience: Overall experience of 6+ years with Minimum 4 years of relevant experience in Big Data technologies 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. Bachelor’s degree and year of work experience of 6 to 8 years or any combination of education, training and/or experience that demonstrates the ability to perform the duties of the position
Required Skills and Experience: 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
Good to have Skills Experience on working on Rest APIs Experience in setting up CI/CD pipelines using terraform or other IaC Optimize data pipelines for performance, scalability, and cost-efficiency.
Benefits of Working Here: Gender-Neutral Policy 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
A Tip from the Hiring Manager: Join the team to sharpen your skills and expand your collaborative methods. Make an impact on our clients and their businesses directly through your work.