Spark Developer

Anlage
North Chicago, IL Contractor
POSTED ON 6/6/2024 CLOSED ON 7/12/2024

What are the responsibilities and job description for the Spark Developer position at Anlage?

Job Description:

Job Summary:
We are seeking a skilled and motivated Spark Developer to join our team. The ideal candidate will have experience in big data processing and analytics, with a strong background in Apache Spark. You will be responsible for designing, developing, and maintaining scalable and efficient data processing solutions.

Key Responsibilities:

  • Develop and maintain large-scale data processing pipelines using Apache Spark.
  • Optimize and tune Spark jobs for performance and scalability.
  • Collaborate with data engineers, data scientists, and other stakeholders to gather requirements and translate them into technical solutions.
  • Implement data integration solutions to extract, transform, and load data from various sources.
  • Ensure data quality and integrity through rigorous testing and validation.
  • Troubleshoot and resolve issues related to data processing and job execution.
  • Stay up-to-date with the latest industry trends and best practices in big data technologies.

Required Skills and Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • Proven experience as a Spark Developer or in a similar role.
  • Strong programming skills in Scala, Java, or Python.
  • Proficiency in using Apache Spark for data processing and analytics.
  • Experience with big data technologies such as Hadoop, Hive, and Kafka.
  • Familiarity with data storage solutions like HDFS, S3, or similar.
  • Knowledge of SQL and experience with relational databases.
  • Ability to work independently and as part of a team.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration abilities.

Preferred Qualifications:

  • Experience with cloud platforms such as AWS, Google Cloud, or Azure.
  • Understanding of containerization technologies like Docker and Kubernetes.
  • Knowledge of stream processing frameworks such as Apache Flink or Storm.
  • Experience with machine learning libraries and frameworks.

Benefits:

  • Competitive salary and performance bonuses.
  • Comprehensive health, dental, and vision insurance.
  • Flexible working hours and remote work options.
  • Professional development opportunities.
  • A collaborative and inclusive work environment.

Job Type: Contract

Pay: From $46.78 per hour

Schedule:

  • 8 hour shift

Ability to Commute:

  • North Chicago, IL 60064 (Required)

Work Location: In person

Salary : $1 - $47

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