Sr. Data Engineer
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Job Location:
Orlando, FL - USA
Monthly Salary:
Not Disclosed
Posted on:
4 hours ago
Vacancies:
1 Vacancy
Job Summary
Sr. Data Engineer - 12 month Contract - Hybrid (3 days on site) - Oralndo FL
Job Summary
- Lead research and development of advanced analytical data solutions including generative AI.
- Collaborate with business and technical stakeholders to gather requirements and understand data sources.
- Design build and maintain effective data pipelines and relational databases (e.g. Snowflake PostgreSQL).
- Translate high-level requirements into actionable technical tasks for data engineering.
- Contribute hands-on development conduct design reviews and communicate project progress to stakeholders.
- Develop and implement complex data engineering solutions to support advanced analytics.
- Manage and deploy code across multiple environments (Dev QA Production) using DevOps and source control (e.g. Git).
- Build and maintain ELT/ETL data pipelines using job scheduling/orchestration tools (e.g. Airflow).
- Utilize SQL and Python for data engineering and analytics tasks.
- Apply experience with containerization technologies (e.g. Docker Kubernetes).
- Leverage knowledge of generative AI models knowledge graphs data mesh and data-sharing platforms.
- Work as part of a hybrid team with 3 days on-site in Orlando FL.
- Lead research and development of advanced analytical data solutions including generative AI.
- Collaborate with business and technical stakeholders to gather requirements and understand data sources.
- Design build and maintain effective data pipelines and relational databases (e.g. Snowflake PostgreSQL).
- Translate high-level requirements into actionable technical tasks for data engineering.
- Contribute hands-on development conduct design reviews and communicate project progress to stakeholders.
- Develop and implement complex data engineering solutions to support advanced analytics.
- Manage and deploy code across multiple environments (Dev QA Production) using DevOps and source control (e.g. Git).
- Build and maintain ELT/ETL data pipelines using job scheduling/orchestration tools (e.g. Airflow).
- Utilize SQL and Python for data engineering and analytics tasks.
- Apply experience with containerization technologies (e.g. Docker Kubernetes).
- Leverage knowledge of generative AI models knowledge graphs data mesh and data-sharing platforms.
- Work as part of a hybrid team with 3 days on-site in Orlando FL.
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
