Sr. Data Engineer

  • Job ID:OP-01-000013-000108
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  • Open Since:Sep 14, 2020
  • City:Goldbach
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  • State:Bavaria
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  • Country:United States

Job Description:

Sr Data  Engineer

AWS, Spark, Scala, Snowflake, Kafka, Informatica

  • As a Sr. Data Engineer, the candidate will have 8+ yrs of experience and love being a problem solver, translating requirements into data metrics and schemas that are easy to understand. Strong interpersonal skills, enabling you to guide people through conversations to collect the information you need. Naturally, you are a flexible, conscientious, independent worker, capable of learning new products and technologies with the following technical skills
  • Good knowledge of Data structures and algorithms along with Hadoop file formats of AVRO, JSON, Parquet
  • Working knowledge in Python.
  • Experience with building Data Pipelines from the ground up - Big Data : Batch & stream data processing using AWS platform, Snowflake, Apache Spark, EMR, Hadoop, Kafka, KStream, Data as a service (API)
  • Proven experience with Kafka - Producer, Consumer, and Streams API.
  • Knowledge with KStream, KSQL, Schema registry will be a plus.
  • Proven with streaming and batch data processing.
  • Proficient in transferring unstructured into structured data.
  • Ability to build and maintain optimal data pipeline arc.
  • Skills: AWS, Python, Scala, SQL, Kafka/Kinessis, Spark
  • Orchestration knowledge of Airflow, Nifi, Autosys would be good
  • Familiar with CI/CD process

Job Skills:

AWS using Kafka and big data/snowflake. Kafka

Minimum Experience:

9 Yrs

Education

Bachelor’s/Master’s Degree in Engineering, preferably Computer Science/Engineering.