Spark with Scala or python

Fanisko
Chicago, IL Full Time
POSTED ON 1/16/2024 CLOSED ON 4/23/2024

What are the responsibilities and job description for the Spark with Scala or python position at Fanisko?

Job Type

Contract to hire ( 3 Months)

Job Description

Our company is seeking a talented and experienced Spark Developer to join our dynamic team.
The ideal candidate will have a strong background in big data processing using Apache Spark
and proficiency in either Scala or Python. As a Spark Developer, you will be responsible for
designing, developing, and maintaining data processing pipelines to support our analytics and
business intelligence needs.

Key Responsibilities

  • Collaborate with data engineers, data scientists, and other stakeholders to understand business requirements and translate them into Spark-based solutions.

  • Design, develop, and optimize Spark applications to process and analyze large volumes of data efficiently.

  • Implement data processing pipelines using Spark with a focus on scalability, reliability, and performance.

  • Troubleshoot and resolve issues related to data processing jobs and performance bottlenecks.

  • Work closely with cross-functional teams to integrate Spark applications with other components of the data architecture.

  • Stay current with emerging trends and technologies in the big data and analytics space.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field.

  • years of professional experience in big data processing and analytics.

  • Strong proficiency in Apache Spark with hands-on experience in either Scala or Python.

  • Experience with distributed computing and parallel processing.

  • Solid understanding of data structures, algorithms, and database systems.

  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their big data services.

  • Excellent problem-solving and communication skills.

  • Ability to work collaboratively in a fast-paced, agile environment.

Preferred Qualifications

  • Master's degree in a relevant field.

  • Experience with Spark SQL, Spark Streaming, and other Spark modules.

  • Knowledge of data warehousing and ETL processes.

  • Familiarity with containerization technologies (e.g., Docker, Kubernetes).

Experience

Salary : $106,000 - $134,000

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