Hi ,
Hope you are doing great.
I have an urgent requirement with one of my Client, details are given below. Please submit suitable candidates.
Hello ,
How are you? This is Saimani from Eminence Technology Solutions LLC concerning a Data Engineer with Scala position for one of our Partners. I found your profile on (Job Portal) and believe that you're a great match. Please review the job description below. Thanks in advance!
Job title: Data Engineer with Scala
Experience: 10 Years
Location : NY City, NY (Remote)
Duration: 12 Months+
Interview Process: Webcam
Any Visa Is Fine
Job Description:
Work within a cross-functional team of engineers to build software for a large-scale data processing ecosystem supporting real-time and batch data that underpins all analytic and operational data flows
• Build tools and services to support data discovery, lineage, governance, and privacy compliance across the data platform
• Build and maintain a CICD process for infrastructure components to ensure high availability while remaining nimble
• Influence and drive software engineering and architecture best practices and standards within the team and wider organization, along with a culture of quality, innovation, and experimentation
• Work with other teams: evangelize the platform, best-practices, data driven decisions; identify new use cases and features and drive adoption
Basic Qualifications:
• Proficient with Scala and Python (Preferred is both but primary Scala)
• Proven track record engineering big-data solutions using technologies like Data bricks/EMR/Spark
• Deep experience deploying and running cloud-based data solutions
• Experience with data warehouses such as Redshift or Snowflake
• Ability to dive deep into any technical component as well as understand and drive the overall systems architecture.
• You care deeply about craftsmanship in your software, and can work backwards from the customer experience.
• You have excellent written and verbal communication skills.
Preferred Qualifications:
• Experience building data pipelines using tools such as Kinesis, Kafka, or Flink
• Familiarity with workflow scheduler tools such as Airflow
• Familiarity with metadata management, data lineage, and principles of data governance