| DATA ENGINEER - Hybrid , Orlando - NOH1B at Orlando, Florida, USA |
| Email: [email protected] |
| From: Jyoti, kpg99 [email protected] Reply to: [email protected] DATA ENGINEER (Hybrid 2 -3 days on-site/wk in Orlando) Title: Data Engineer Duration: 12 months Visa Status: NOH1B Interview: Telephone followed by Zoom Initial Screening with HM (30 minutes) Technical interview with team (1 1.5 hours) Note: Needs someone with Integration experience. Key Skills: 5 years Data Engineering, Python, SQL, and AWS Cloud Storage (i.e. S3 & Lambda), DevOps, PostgreSQL, Snowflake Preferred Skills: Databricks, Apache Airflow JOB Description: The DDSI Data Engineering (DE) team is seeking a Contract Senior Data Engineer to work on a Media Ad Sales project. This position will work with the Decision Science Products and Science teams to design and implement a systems Disney Ad Sales space. The work will involve various data engineering activities such as data acquisition and validation, designing and implementing ETL/ELT data pipelines, and designing and implementing databases. Responsibilities of the Role: Work assignments may cover activities such as data requirements gathering, source-to-target mapping, data validation scripting and review, developing and monitoring ETL/ELT data pipelines, designing and implementing database schema/tables/views, and producing datasets as input to science models and visualizations. Technologies generally leveraged to fulfill the work include, but not limited to, SQL, Python, Docker, Gitlab, Airflow, Lambda, Snowflake, and PostgreSQL. Basic Qualifications: 3-5 years of experience with ELT/ETL data pipeline development and maintenance Proven experience and expertise using Python, SQL, and cloud storage (such as AWS S3) Experience with developing in a multi environment (Dev, QA, Prod, etc.) and DevOps procedures for code deployment/promotion. Strong understanding of relational database design and proficiency utilizing a database such as PostgreSQL, or Snowflake Preferred Qualifications Experience working with large datasets and big data technologies, preferably cloud-based, such as Snowflake, Databricks, or similar Knowledgeable on cloud architecture and product offerings, preferably AWS Experience managing and deploying code using a source control product such as GitLab/GitHub Experience leveraging containerization technologies such as Docker or Kubernetes Hands-on knowledge of job scheduling software like Apache Airflow or UC4 Required Education BS or equivalent work experience Keywords: quality analyst sthree active directory Delaware |
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| Mon Sep 18 22:26:00 UTC 2023 |