| Job opening for Senior Data Engineer Remote at Remote, Remote, USA |
| Email: [email protected] |
| From: Sushmita Soni, Sonitalent [email protected] Reply to: [email protected] Hi Hope you are doing well , We are looking for Senior Data Engineer let me know if you are looking for this role and send me your updated resume also Job Description Job Title: Senior Data Engineer Work Location: Remote Duration: Contract Note: Need LinkedIn ID. Description: Do you want to impact decisions to help people live healthier lives Are you an innovative Data Engineer who thrives on developing new solutions to solve tough challenges We want to achieve more in our mission of health care, and so we have to be really smart about the business of health care. At Optum, we're changing the landscape of our industry. You will put your Data Engineering skills to work as you empower business partners and team members improve healthcare delivery. You will research cutting edge big data tools, and design innovative solutions to solve business problems that only a Data Engineer can. You'll be in the driver's seat on vital projects that have strategic importance to our mission of helping people live healthier lives. Yes, we share a mission that inspires. And we need your organizational talents and business discipline to help fuel that mission. You will be part of the team who is focused on building a cutting-edge data analytics platform to support reporting requirements for the business. As a Senior Data Engineer, you will be responsible for the development of complex data sources and pipelines into our data platform (i.e. Snowflake) along with other data applications (i.e. Azure, Airflow, etc.) and automation. This is a fully remote role based in the United States. Your counterpart team is located in Dublin, Ireland office. While there is no requirement to work in shift hours, there might be an occasional call with Dublin team which can require flexible working. Primary Responsibilities: Create & maintain data pipelines using Azure & Snowflake as primary tools Create SQL Stored procs, Macros to perform complex transformation Creating logical & physical data models to ensure data integrity is maintained CI/CD pipeline creation & automation using GIT & GIT Actions Tuning and optimizing data processes Design and build best in class processes to clean and standardize data Code Deployments to production environment, troubleshoot production data issues Modelling of big volume datasets to maximize performance for our BI & Data Science Team Create Docker images for various applications and deploy them on Kubernetes Qualifications: Computer Science bachelor's degree or similar Min 3-6 years of industry experience as a Hands-on Data engineer Excellent communication skills Excellent knowledge of SQL, Python Excellent knowledge of Azure Services such as Blobs, Functions, Azure Data Factory, Service Principal, Containers, Key Vault etc. Excellent knowledge of Snowflake - Architecture, best practices Excellent knowledge of Data warehousing & BI Solutions Excellent Knowledge of change data capture (CDC), ETL, ELT, SCD etc. Knowledge of CI CD Pipelines using GIT & GIT Actions Knowledge of different data modelling techniques such as Star Schema, Dimensional models, Data vault Hands on experience on the following technologies: Developing data pipelines in Azure & snowflake Writing complex SQL queries Building ETL/ELT/data pipelines using SCD logic Exposure to Kubernetes and Linux containers (i.e. Docker) Related/complementary open-source software platforms and languages (e.g. Scala, Python, Java, Linux) Previous experience with Relational Databases (RDBMS) & Non- Relational Database Analytical and problem-solving experience applied to a Big Data datasets Good understanding of Access control and Data masking Experience working in projects with agile/scrum methodologies and high performing team(s) Exposure to DevOps methodology Data warehousing principles, architecture and its implementation in large environments Very good understanding of integration with Tableau Preferred Qualifications: Design and build data pipelines (in Spark) to process terabytes of data Very good understanding of Snowflake integration with data visualization tool such as Tableau Orchestrate in Airflow the data tasks to run on Kubernetes/Hadoop for the ingestion, processing and cleaning of data Terraform knowledge and automation Create real-time analytics pipelines using Kafka / Spark Streaming Work on Proof of Concepts for Big Data and Data Science Understanding of United States Healthcare data Thanks & Regards Sushmita Soni Sr. Technical Recruiter| SoniTalent Corp. Desk | 859-659-1004 EXT 201 [email protected] Address - 5404 Merribrook Lane, Prospect, KY, USA Keywords: continuous integration continuous deployment business intelligence Idaho Kentucky |
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| Thu Mar 14 05:20:00 UTC 2024 |