Role: Sr Data Engineer - AWS

On site- Orlando, FL

Exp: 12 yrs

Duration: 12 months

Top Skills' Details

SQL scripting and Python from scratchPrevious experience working in a team environment (dev, test, qa, prod)Able to provide feedback on design plans for improvements

What You Will DoWork assignments may cover activities such as participation in data requirements gathering, source-to-target mapping, developing and maintaining ELT data pipelines, data quality monitoring, producing input datasets for science models and visualizations and Batch/Orchestration job scheduling. In addition to technical abilities, the role is responsible for developing an understanding the business domain and processes, then applying that knowledge to the assigned deliverables. This role communicates data engineering progress to the project leadership team, and actively participates in meetings and discussions.Technologies generally leveraged to fulfill the work include, but not limited to PostgreSQL, Snowflake, SQL, Python, Docker, and GitLab.

Additional Skills & Qualifications

Required Qualifications & Skills3-5 years of overall technical experienceExperience with ELT/ETL data pipeline development and maintenanceHigh Proficiency in SQL codingProven experience and expertise using Python, Docker, Snowflake and/or PostgresAbility to showcase an understanding of one or more business domainsPrior experience gathering and refining data requirements and producing data design solutionsExperience leveraging job scheduling software like Apache AirflowExperience with developing in a multi environment (Dev, QA, Prod, etc.) and DevOps procedures for code deployment/promotionStrong understanding of database design and proficiency using various database platforms, such as PostgreSQL or SnowflakeExperience managing and deploying code using a source control product such as GitLab/GitHubAble to optimally formulate solutions and communicate sophisticated technical concepts to non-technical team members
Preferred QualificationsExperience working with large datasets and big data technologies, preferably cloud-based, such as Snowflake or similarKnowledgeable on cloud architecture and product offerings, preferably AWSExperience using containerization technologies such as Docker or Kubernetes