Sr Scala/Spark Developer - Irving

Posted 21 Days Ago
Be an Early Applicant
Hiring Remotely in United States
Remote
46K-161K Annually
Senior level
Agency • Information Technology
The Role
Design, develop, optimize, and deploy high-performance Spark/Scala data processing applications and ETL pipelines within the Cloudera Hadoop ecosystem. Collaborate with data scientists and analysts, ensure data integrity and performance, troubleshoot Spark/Cloudera issues, and implement version control and CI/CD for Spark applications.
Summary Generated by Built In

Key Responsibilities: 

  • Develop, test, and deploy data processing applications using Apache Spark and Scala. 
  • Optimize and tune Spark applications for better performance on large-scale data sets. 
  • Work with the Cloudera Hadoop ecosystem (e.g., HDFS, Hive, Impala, HBase, Kafka) to build data pipelines and storage solutions. 
  • Collaborate with data scientists, business analysts, and other developers to understand data requirements and deliver solutions. 
  • Design and implement high-performance data processing and analytics solutions. 
  • Ensure data integrity, accuracy, and security across all processing tasks. 
  • Troubleshoot and resolve performance issues in Spark, Cloudera, and related technologies. 
  • Implement version control and CI/CD pipelines for Spark applications. 

Required Skills & Experience: 

  • Minimum 8 years of experience in application development. 
  • Strong hands on experience in Apache Spark, Scala, and Spark SQL for distributed data processing. 
  • Hands-on experience with Cloudera Hadoop (CDH) components such as HDFS, Hive, Impala, HBase, Kafka, and Sqoop. 
  • Familiarity with other Big Data technologies, including Apache Kafka, Flume, Oozie, and Nifi. 
  • Experience building and optimizing ETL pipelines using Spark and working with structured and unstructured data. 
  • Experience with SQL and NoSQL databases such as HBase, Hive, and PostgreSQL. 
  • Knowledge of data warehousing concepts, dimensional modeling, and data lakes. 
  • Ability to troubleshoot and optimize Spark and Cloudera platform performance. 
  • Familiarity with version control tools like Git and CI/CD tools (e.g., Jenkins, GitLab). 

Compensation, Benefits and Duration

Minimum Compensation: USD 46,000
Maximum Compensation: USD 161,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post

Skills Required

  • Minimum 8 years of experience in application development
  • Strong hands-on experience in Apache Spark, Scala, and Spark SQL
  • Hands-on experience with Cloudera Hadoop components (HDFS, Hive, Impala, HBase, Kafka, Sqoop)
  • Familiarity with Big Data tools including Kafka, Flume, Oozie, and Nifi
  • Experience building and optimizing ETL pipelines using Spark for structured and unstructured data
  • Experience with SQL and NoSQL databases such as HBase, Hive, and PostgreSQL
  • Knowledge of data warehousing concepts, dimensional modeling, and data lakes
  • Familiarity with version control (Git) and CI/CD tools (e.g., Jenkins, GitLab)
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The Company
HQ: London
5,017 Employees
Year Founded: 2007

What We Do

Photon.com has emerged as one of the world’s largest and fastest-growing Digital Agencies. We work with 40% of the Fortune 100 on their Digital initiatives and are known for our ability to integrate Strategy Consulting, Creative Design, and Technology at scale. Please visit www.photon.com to learn more about us, how we work, and our customer case studies. Digital Transformation Starts Here.

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