- Analyze system requirements and design responsive algorithms and solutions.
- Use big data and cloud technologies to produce production quality code.
- Engage in performance tuning and scalability engineering.
- Work with team, peers and management to identify objectives and set priorities.
- Perform related SDLC engineering activities like sprint planning and estimation.
- Work effectively in small agile teams.
- Provide creative solutions to problems.
- Identify opportunities for improvement and execute.
- Minimum 4 years of proven professional experience working in the IT industry.
- Bachelor's in Computer Science or related domain.
- Experience with cloud based Big Data technologies.
- Experience with big data technologies like Hadoop, Spark and Hive.
- AWS experience (S3 and EMR).
- Proficiency in Hive / Spark SQL / SQL. Experience with Spark.
- Experience with one or more programming languages like Java & Scala.
- Ability to push the frontier of technology and independently pursue better alternatives.
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Data Engineer - New York, United States - ASCENDING LLC
Description
Full-time, Remote - Location Requirement: MUST be located in the Eastern Time Zone
Available for W-2 or 1099 Individual.
Our client, one of the largest Amazon Web Services (AWS) partners for data services, is looking for a true Mid level Big Data Engineer to contribute to join their team of technologists to build and contribute to large-scale, innovative projects. Technological and career growth opportunities are a natural and every day part of the working environment.
Responsibilities:
Requirements:
Thanks for applying