Senior BigData Engineer (offline)
Responsibilities and job specifics:
• Develop and support existing end-to-end data AWS based Big Data solutions for structured and unstructured data including, but not limited to, ingestion, parsing, integration, auditing, logging, aggregation, normalization, and error handling
• Create jobs and queries to perform auditing and error handling
• Develop PySpark and Scala Spark pipelines
Requirements:
• Experience in Python or Scala
• Experience in SQL
• Experience in Linux
• Good understanding of software development methodologies
• Being result-oriented, ability to make things done in a highly dynamic and stressful environment
• Good communication skills and good English
• Being a good team player
Nice to have:
• Apache Spark including an understanding of optimization techniques
• Knowledge of Hadoop architecture
• Experience in working with AWS (S3, EMR cluster, Lambda, Kinesis, DynamoDB, etc.)
We offer:
• Flexible working hours
• A competitive salary and good compensation package
• Best hardware
• A masseur and a corporate doctor
• Healthcare & sport benefits
• An inspiring, comfy, clean and safe office
Professional growth:
• Challenging tasks and innovative projects
• Meetups and events for professional development
• An individual development plan
• Mentorship program
Fun:
• Corporate events and outstanding parties
• Exciting team buildings
• Memorable anniversary presents
• A fun zone where you can play video games, foosball, ping pong, and more.
The job ad is no longer active
Job unpublished on
6 April 2021
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