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Sr. Data Engineer

3 months ago

Rockville, United States ASCENDING LLC Full time

Our client is a leading provider of financial and economic data to the investment banking industry. They are seeking an experienced Senior Data Engineer to join and growing team.

- This role is only available for W2 or individual contracts. Please no C2C.

- Remote 100%

Responsibilities:

  • Analyze system requirements and design responsive algorithms and solutions.
  • Build efficient ETL pipeline using Spark.
  • 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.
Requirements:
  • 4+ years of proven professional experience working in the IT industry.
  • AWS EMR experience.
  • Degree in Computer Science or related domains.
  • Candidate must have 3-5 years of demonstrated experience in building big data solutions on AWS cloud primarily with PySpark, preferably in Data Analytics space.
  • Minimum 3 - 5 years experience in application development using Python.
  • Minimum 3 - 5 years of experience working with Spark
  • Must have hands on experience developing data engineering solutions in Python using: S3, EMR, Glue, Athena, Kafka and notebooks.
  • Must have hands on development experience in building distributed Big Data solutions including ingestion, caching, processing, consumption, logging & monitoring.
  • Position requires strong technical communication skills.
Bonus:
  • Big Data and Open Source technical experience.
  • Agile (Scrum) methodology.
  • Experience developing SaaS application backends and APIs using a variety of tools.
  • Experience turning abstract business requirements into concrete technical plans.
  • Proficiency with algorithms (including time and space complexity analysis), data structures, and software architecture.
  • Must be a quick learner to evaluate and embrace new technologies in the Big data space.


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