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Data Engineer Level 2
72% Flex
Job description
Your missions
Location: Remote
Duration: 6 Months (Contract)
Positions Needed: 1
Job Scope:
What you'll do:
As a Senior Data Engineer, you are part of the software development team.
We develop strategies and solutions to ingest, store, and distribute our big data.
Our developers use Big Data technologies including (but not limited to) Hadoop, PySpark, Hive, JSON, and SQL to develop products, tools and software features.
Responsibilities:
Take ownership of features and drive them to completion through all phases of the entire 84.51 SDLC. This includes external facing and internal applications as well as process improvement activities such as:
Participate in design of Big Data platforms and SQL based solutions
Perform development of Big Data platforms and SQL based solutions
Perform unit and integration testing
Partner with senior resources, gaining insights
Participate in retrospective reviews
Participate in the estimation process for new work and releases
Be driven to improve yourself and the way things are done
Minimum Skills Required:
Bachelor's degree (typically in Computer Science, Management Information Systems, Mathematics, Business Analytics or another technically strong program), plus 2 years of experience
Proven Big Data technology development experience including Hadoop, Spark (PySpark), and Hive
Understanding of Agile Principles (Scrum)
Experience developing with Python
Cloud Development (Azure)
Exposure to VCS (Git, SVN)
Position Specific Skill Preferences:
Experience in the following:
Experience developing with SQL (Oracle, SQL Server)
Exposure to NoSQL (Mongo, Cassandra)
Apache NiFi
Airflow
Docker
Key Responsibilities
Participate in design of Big Data platforms and SQL based solutions
Perform development of Big Data platforms and SQL based solutions
Perform unit and integration testing
Partner with senior resources, gaining insights
Participate in retrospective reviews
Participate in the estimation process for new work and releases
Note to Vendors
Cloud Engineering skills (Azure preferred, Azure Data Factory, Databricks)
Python, Spark, SQL Strong Data comprehension
Github or other - code management
Automation, DevOps, Testing
Required profile
Experience
Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory. Share
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