US_East | Data Engineer_L2 - Saicon Consultants, Inc

R2D2: 14262558 - LPL- Data Engineer (Snowflake_DBT Core_AWS_ETL_Python)Location: FORT MILLRate: $80/hrJD:\'Job Description: We are seeking a highly skilled and experienced Data Engineer to join our team. The ideal candidate will have expertise in the following areas:1.Snowflake, Snowpark: The candidate should have a deep understanding of Snowflake data warehousing platform and be proficient in using Snowpark for data processing and analytics.2.DBT: Experience with DBT (Data Build Tool) for modeling data and creating data transformation pipelines is a plus.3.AWS services (Airflow): The candidate should have hands-on experience with AWS services, particularly Apache Airflow for orchestrating complex data workflows and pipelines.4.AWS services (Lambda): Proficiency in AWS Lambda for serverless computing and event-driven architecture is essential for this role.5.AWS services (Glue): The candidate should be well-versed in AWS Glue for ETL (Extract, Transform, Load) processes and data integration.6.Python: Strong programming skills in Python are required for developing data pipelines, data transformations, and automation tasks. Responsibilities:- Design, develop, and maintain data pipelines and ETL processes using Snowflake, AWS services, Python, and DBT.- Collaborate with data scientists and analysts to understand data requirements and implement solutions.- Optimize data workflows for performance, scalability, and reliability.- Troubleshoot and resolve data-related issues in a timely manner.- Stay updated on the latest technologies and best practices in data engineering.Qualifications:- Bachelors degree in Computer Science, Engineering, or related field.- Proven experience in data engineering roles with a focus on Snowflake, AWS services, Python, and DBT.- Strong analytical and problem-solving skills.- Excellent communication and teamwork abilities.- Technical certifications are a plus.If you meet the above requirements and are passionate about data engineering and analytics, we encourage you to apply for this exciting opportunity.\'\'Due to additional onboarding requirements, a meet and greet is required for all new hires. Candidates must be willing to go to the closest Capgemini, Client, or offsite location as indicated by project team to meet with a Capgemini team member prior to starting their assignment. If the candidate is not local, travel will be required at the expense of the Capgemini project team (will receive project code for vendor to submit invoices in SAP Fieldglass for reimbursement). If travel is involved, will send travel policy document for the candidate to adhere to. If candidate completes selection process / meet and greet and decides to decline offer once process is started, costs will be paid by vendor and not Capgemini.\'ERM Julio Schaart