Senior Data Engineer

Overview Akkodis is seeking a Senior Data Engineer for a Contract position with a client located in Orlando, FL (Onsite 4 days a week). Pay Range: $70/hr - $80/hr, The rate may be negotiable based on experience, education, geographic location, and other factors Need local or nearby candidates only. W2 candidates only, NO C2C!!! Must have Data Engineering, AWS, Snowflake, Airflow, ETL, SQL, and Gen AI. Job Description What You Will Do You will be responsible for planning and leading research and development related to advanced analytic data solutions, leveraging GenAI. You will work with business and technology leaders to understand scope and requirements, business needs, and data from across the Disney company in order to design and deliver the data pipelines necessary for our solutions. You will partner with the Decision Science Products, Decision Science, and client teams on critical projects. Other activities include planning, estimating, design, development, testing, production rollout, and sustainment activities. You will also need to consult and collaborate with project team members, lead design reviews, do hands-on development, and communicate with colleagues and leaders. Qualifications Basic Qualifications Required Qualifications & Skills 7+ years of overall experience in a data engineering development capacity using multiple environments (Dev, QA, Prod, etc.) and DevOps procedures for code deployment/promotion Experience translating project scope and high-level requirements into technical data engineering tasks Experience defining solutions to sophisticated data engineering problems in support of advanced analytic processes Experience with a variety of GenAI models, tools, and concepts Understanding of Knowledge Graphs, Data Mesh, and other data sharing platforms 3+ years using, designing, and building relational databases (preferably Snowflake or PostgreSQL) 3+ years of experience leading and deploying code using a source control product such as GitLab/GitHub 2+ years of experience with job scheduling software like Apache Airflow, Amazon MWAA, GitLab Runners, or UC4 Experience collaborating with multiple project teams in a fast-paced environment Experience with defining and estimating level-of-effort data engineering activities Experience with project and sprint planning Ability to communicate technical concepts and solutions to non-technical team members Experience designing and building data structures to support requirements Multiple years of experience with ELT/ETL data pipeline development and maintenance Multiple years of experience and expertise using SQL and Python Experience using containerization technologies such as Docker or Kubernetes Knowledgeable on cloud architecture and product offerings, preferably AWS Preferred Qualifications Experience collaborating with multiple project teams in a fast-paced environment Experience with defining and estimating level-of-effort data engineering activities Experience with project and sprint planning Ability to communicate technical concepts and solutions to non-technical team members Experience designing and building data structures to support requirements Multiple years of experience with ELT/ETL data pipeline development and maintenance Multiple years of experience and expertise using SQL and Python Experience using containerization technologies such as Docker or Kubernetes Knowledgeable on cloud architecture and product offerings, preferably AWS Required Education BA/BS Degree Comp Sci/IS or related field Additional Information Bachelor’s degree (Computer Science, Mathematics, Software Engineering, or related field, or equivalent experience) Master’s degree preferred (Computer Science, Mathematics, Engineering, or related field preferred) If you are interested in this role, then please click APPLY NOW . For other opportunities available at Akkodis, or any questions, please contact Anirudh Srivastava at View phone number on click.appcast.io or View email address on click.appcast.io. Equal Opportunity Employer/Veterans/Disabled Benefit offerings include medical, dental, vision, term life insurance, short-term disability insurance, additional voluntary benefits, commuter benefits, and a 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State, or local law; and Holiday pay upon meeting eligibility criteria. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit #J-18808-Ljbffr