Sr Data Engineer (on-site in Orlando Florida)

Overview

On Site
$70 - $80
Contract - W2
Contract - 12 Month(s)
No Travel Required

Skills

Airflow
Apache Airflow
DevOps
ETL
GitHub
GitLab
Kubernetes
PostgreSQL
Python
QA
S3
big data
cloud architecture
cloud storage
containerization
data pipeline
data pipelines
data validation
database design
relational database
relational database design
scheduling
schema

Job Details

NO C-C

NO H-1B

Data Engineer (P3) 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

Desired 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: BA/BS Degree

Additional Information - Hybrid Location 4x a week onsite - Must be based in Orlando area

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