Senior Databricks Developer
Toronto, ON, Canada
spruceinfotech
Company Description
Spruce InfoTech, a leading IT firm, offers innovative and cost-effective solutions to help clients manage and transform their businesses. Our services are designed to guide companies of all sizes, from small businesses to Fortune 500 organizations, in maximizing their IT investment while reducing technology costs. Our team of experts has extensive technical knowledge in enterprise solutions, which helps organizations transform these solutions into a strategic asset that can drive new revenue and improve business operations.
Website
http://www.spruceinfotech.com
Job Description
We need candidates with Data Bricks in AWS cloud only with associated transformation skills in Pyspark, SQL, etc, for both Sr Data Bricks and Data Architect requirements.
Role: Senior Databricks developer
Location: Canada (Hybrid)
Relevant and Total years of experience: Relevant 8+ years and Total 10 + years
Must Have: Databricks and AWS
Mandatory Skills
- 10+ years of overall experience and 8+ years of relevant experience in Data bricks, AWS, Py spark, SQL
- Proficiency in programming languages such as Python, Scala, or SQL.
- Strong understanding of distributed computing principles and experience with big data technologies such as Apache Spark.
- Experience with cloud platforms such as AWS, Azure, or GCP, and their associated data services.
- Knowledge of DevOps practices for automated deployment and monitoring of data pipelines.
- Proven track record of delivering scalable and reliable data solutions in a fast-paced environment.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills with the ability to work effectively in cross-functional teams.
- Good to have experience with containerization technologies such as Docker and Kubernetes.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Big Data Databricks Data pipelines DevOps Docker GCP Kubernetes Pipelines PySpark Python Scala Spark SQL
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