Senior Associate Data Engineer L2 (Public Sector)

at  Publicis Sapient

Publicis Sapient- Public Sector is seeking an experienced Senior Associate Data Engineer with 7+ years of experience in Python, Snowflake, and ELT tools. The ideal candidate is a detail-oriented team player who will be the first line in creating innovative data solutions for our business. You will be responsible for the development, testing, and maintenance of data engineering frameworks and large-scale data processing systems.

Key Responsibilities :

• Design, construct, install, test, and maintain highly scalable data management systems.
• Work closely with IT architects, data analysts, and business stakeholders to design and implement data solutions that meet business requirements and goals.
• Collaborate with business stakeholders to identify opportunities for data-driven improvements.
• Develop and implement data standards, procedures, and guidelines to ensure data integrity, dependability, and regulatory compliance.
• Develop and implement complex database queries, stored procedures, and scripts.
• Anticipate future demands of initiatives related to data, and make recommendations to upper management on necessary upgrades or new systems.

PRIMARY SKILL REQUIRED: ANY CLOUD EXP, PYTHON, SQL, ETL, AND SNOWFLAKE

Must-Haves:

• Application open to ONLY U.S. Citizens and Permanent Residents (GC) * No sponsorship available *
• Eligible to obtain U.S. Government Clearance (Public Trust)
• Applicants must be residing in the U.S. and be legally authorized to work.
• Local to the Washington DC metro area, Maryland, and Virginia.

Required Skills & Qualifications:

• A minimum of 7 years of experience in a Data Engineer role.
• Proficiency in Python for legacy and modern ingestion in using libraries for data engineering like Pandas, SQLalchemy, and Snowpark, is required. Good understanding of Python syntax, data structures, control flow, and error-handling mechanisms.
• At least one project experience in deploying data ingestion framework using Python.
• 1-2 years of working exp with Snowflake and its features like snowpipe, snowpark, tasks, procedures, etc.
• Hands-on exp with ETL tools and processes (SSIS, Informatica, etc).
• Proficiency in SQL to write complex queries and stored procedures.
• Exp working with legacy and modern sources and file formats like JSON, CSV, XML, and classified data with PII, PHI, etc
• Familiarity with version control systems like Git for managing and collaborating.
• Familiarity with at least one public cloud platform AWS, Azure, or GCP, and understanding how Snowflake integrates with these platforms.
• Exceptional analytical and problem-solving skills.
• Strong communication and collaboration skills.
• A degree in Computer Science, Engineering, or a related field.

Nice to Have:

• Cloud certifications
• Proficiency in Azure Cloud services like Azure Data Factory and DevOps is advantageous.

COMPANY DESCRIPTION

As a Digital Business Transformation partner of choice at Publicis Sapient, we’ve spent nearly three decades utilizing the disruptive power of technology and ingenuity to help digitally enable our client’s businesses in their pursuit of the next. Our 20,000+ people in 53 offices worldwide combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses by designing the products and services their customers truly value. In the space between next and now is how. And we believe that how you seize that space is everything. We’ve been named a LEADER in Gen AI

• Design, construct, install, test, and maintain highly scalable data management systems.
• Work closely with IT architects, data analysts, and business stakeholders to design and implement data solutions that meet business requirements and goals.
• Collaborate with business stakeholders to identify opportunities for data-driven improvements.
• Develop and implement data standards, procedures, and guidelines to ensure data integrity, dependability, and regulatory compliance.
• Develop and implement complex database queries, stored procedures, and scripts.
• Anticipate future demands of initiatives related to data, and make recommendations to upper management on necessary upgrades or new systems