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Data Engineer

📁
Information Technology
💼
Corporate
Thanks for your interest in the Data Engineer position. Unfortunately this position has been closed but you can search our 678 open jobs by clicking here.
JOB REQUIREMENTS
  • BS in Computer Science or related field
  • 4+ years of experience in the data and analytics space
  • Certification –preferably AWS Certified Big Data or any other cloud data platforms, big data platforms
  • 2+ years of experience developing and implementing enterprise-level data solutions utilizing Python, Java, Spark, and Scala, Airflow, Hive
  • 2+ years in key aspects of software engineering such as parallel data processing, data flows, REST APIs, JSON and micro service architectures
  • 2+ year of experience working on Big Data Processing Frameworks and Tools – Map Reduce, YARN, Hive, Pig, Oozie, Sqoop, and good knowledge of common big data file formats (e.g., Parquet, ORC, etc.)
  • 4+ years of RDBMS concepts with strong data analysis and SQL experience
  • 3+ years of Linux OS command line tools and bash scripting proficiency
  • Solid programing experience in Python - needs to be an expert in this 4/5 level.
 
 

Knowledge, Skills and Abilities: 

  • A passion for technology and data analytics with a strong desire to constantly be learning and honing skills
  • Ability to work in a team environment
  • Flexibility to work in matrix reporting structure
  • Strong understanding of Hadoop fundamentals with experience working on Big Data Processing Frameworks and Tools – Map Reduce, YARN, Hive, Pig, Oozie, Sqoop, and good knowledge of common big data file formats (e.g., Parquet, ORC, etc.)
  • Develop large scale event based streaming architectures
  • Strong communication and documentation skills
  • Mentor other team members and participate in cross training
  • Working knowledge of NoSQL, in-memory databases
  • Working knowledge of developing data ingestion and data transformation capabilities using Hive, Python, Spark and Scala, Airflow
  • Background in all aspects of software engineering with strong skills in parallel data processing, data flows, REST APIs, JSON, XML, and micro service architecture.
  • Solid programing experience in Python - needs to be an expert in this 4/5 level
  • Experience working in a scrum/agile environment and associated tools (Jira)
  • Experience with large data sets and associated job performance tuning and troubleshooting
  • Able to collaborate with cross-functional IT teams and global delivery teams
 
Nice to have:
  • Kubernetes and Docker experience a plus
  • Prior working experience on data science work bench
  • Cloud data warehouse experience - Snowflake is a plus
  • Data Modeling experience a plus
  • Knowledge of data engineering aspects within machine learning pipelines (e.g., train/test splitting, scoring process, etc.)

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