Cloud Engineer

Akkodis is seeking AWS Cloud Data Engineer for a Contract job with a client in Cambridge, VT – Onsite role. Looking for senior technical, someone who has worked on projects, understands building pipelines, training and deploying models, governing data with Unity Catalog/Lake Formation, and improving performance and reliability at scale.. .Rate Range: $48/hour to $53/hour; The rate may be negotiable based on experience, education, geographic location, and other factors. AWS Cloud Data Engineer Job Responsibilities Include • AWS Cloud Data Lake (Expert) Deep hands-on experience with AWS services SageMaker, S3, EMR, Glue, Lambda, Redshift, Athena, Step Functions, Lake Formation, and IAMsecurity best practices. • Proven experience designing and managing AWS Data Lake architectures. • Databricks (Expert) Proficiency in Databricks for large-scale data engineering, ML model development, MLflow for experiment tracking, and Unity Catalog for governance. • Big Data Processing (Expert) Strong experience with Apache Spark (PySpark Scala), distributed computing, and processing large-scale structured unstructured datasets. • Machine Learning Solid expertise in ML algorithms, feature engineering, model evaluation, and frameworks such as scikit-learn, XG-Boost, TensorFlow, or PyTorch. • MLOps Proven experience with end-to-end ML lifecycle model deployment, monitoring, retraining, CICD pipelines, containerization (Docker), and orchestration (KubernetesECS). • Python Expert-level proficiency for end-to-end data science and ML workflows. • SQL Advanced SQL for data analysis and pipeline development. • Code Management Proficiency with Git, branching strategies, and code review practices. Key responsibilities • Leadership Strategy Lead and manage a team of 6 data scientists, ML engineers, and analytics professionals across onshore offshore locations, providing technical mentorship and career guidance. • Define and drive the data science operations strategy, roadmap, and best practices aligned with business objectives. Partner with senior business stakeholders, product owners, and cross-functional teams to identify high-impact AIML opportunities and translate them into actionable project plans. • Establish and govern standards for model development, deployment, monitoring, and responsible AI adoption across the organization. • Hands-On Technical Delivery Architect and oversee scalable ML pipelines for data ingestion, feature engineering, model training, validation, and inference on AWS cloud and Databricks. • Design and implement AWS Data Lake architectures and big data processing solutions for structured and unstructured data at petabyte scale using Spark, Databricks, and AWS-native services (S3, Lake Formation, EMR, Glue, SageMaker, Redshift, Athena). • Lead the deployment of production ML systems including real-time inference APIs, batch prediction pipelines, and model-as-a-service architectures. • Drive MLOps maturity CICD for ML, automated model retraining, drift detection, AB testing, and performance monitoring. If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at Shashank.tewari@akkodisgroup.com. Pay Details: $48.00 to $53.00 per hour The rate may be negotiable based on experience, education, geographic location, and other factors. Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Equal Opportunity Employer/Veterans/Disabled Military connected talent encouraged to apply To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.akkodis.com/en/us/candidate-privacy-policy Requirements The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: The California Fair Chance Act Los Angeles City Fair Chance Ordinance Los Angeles County Fair Chance Ordinance for Employers San Francisco Fair Chance Ordinance Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.