Senior Lead Data Engineer: Cloud, ML & Data

• Collaborate with Agile teams to design, develop, test, implement, and support technical solutions in full-stack development

• Lead a team of developers with experience in machine learning, distributed microservices, and full stack systems

• Utilize programming languages like Java, Scala, Python and Open Source RDBMS and No

SQL databases and Cloud based data warehousing services

• Share passion for tech trends and mentor other members of the engineering community

• Collaborate with digital product managers to deliver cloud-based solutions that drive powerful experiences

Requirements

• Bachelor’s Degree
• At least 6 years of experience in application development
• At least 2 years of experience in big data technologies
• At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
• Master’s Degree preferred
• 9+ years of experience in application development including Python, SQL, Scala, or Java preferred
• 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) preferred
• 5+ years experience with Distributed data/computing tools (Map Reduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) preferred
• 4+ year experience using Apache Flink or working on real-time data and streaming applications preferred
• 4+ years of experience with No
  
  SQL implementation (Mongo, Cassandra) preferred
• 4+ years of data warehousing experience (Redshift or Snowflake) preferred
• 4+ years of experience with UNIX/Linux including basic commands and shell scripting preferred
• 2+ years of experience with Agile engineering practices preferred

🔍 ATS Optimization Keywords
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Hard Skills

• Java
• Scala
• Python
• SQL
• No
  
  SQL
• Map Reduce
• Hadoop
• Hive
• Apache Flink
• data warehousing

Soft Skills

• collaboration
• leadership
• mentoring
• communication
• passion for technology

Certifications & Qualifications

• Bachelor's Degree
• Master's Degree