senior Data Engineer

Need 9+ years’ experience  in profile

 

Experience:

  • Strong understanding of data structures and algorithms
  • Strong understanding of the solution and technical design
  • Has a strong problem-solving and analytical mindset?
  • Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders
  • Able to quickly pick up new programming languages, technologies, and frameworks
  • Advanced experience building cloud scalable, real-time and high-performance data lake solutions
  • In-depth understanding of microservice architecture
  • Strong understanding of developing complex data solutions
  • Experience working on end-to-end solution design
  • Able to lead others in solving complex problems by taking a broad perspective to identify innovative solutions 
  • Willing to learn new skills and technologies
  • Has a passion for data solutions

Required and Preferred Skill Sets:

  • Hands-on expert-level experience in AWS - EMR [Hive, Pyspark], S3, Athena or any other equivalent cloud
  • Hands-on expert level experience with Spark Batch Processing and some familiarity with Spark Structured Streaming
  • Experience Working experience with Hadoop stack dealing with huge volumes of data in a scalable fashion
  • Hands-on experience with SQL, ETL, data transformation, and analytics functions 
  • Hands-on Python experience including Batch scripting, data manipulation, distributable packages
  • Experience working with batch orchestration tools such as Apache Airflow  or equivalent
  • Working with code versioning tools such as GitHub or BitBucket; expert-level understanding of repo design and best practices
  • Working with deployment automation tools such as Jenkins and familiarity with containerization concepts such as Docker and Kubernetes
  • Hands-on experience designing and building ETL pipelines; expert with data ingest, change data capture, and data quality

 

Apply Now
1