Sr Big Data Engineer with Hadoop, AWS, HIVE, HDFS, Pyspark, SQL, EMR, Lambda Scala, Spark, Python, Kafka -Remote must need 12+ Years experience

Sr Big Data Engineer with Hadoop, AWS, HIVE, HDFS, Pyspark, SQL, EMR, Lambda Scala, Spark, Python, Kafka -Remote must need 12+ Years experience

Posted 1 week ago by 1756188140

Negotiable
Outside
Remote
USA

Summary: The role of Sr Big Data Engineer requires extensive experience in the Hadoop ecosystem and proficiency in various technologies including AWS, HIVE, Pyspark, and SQL. The candidate should have a strong background in Scala and Python development, along with the ability to write complex SQL queries. This position is remote and demands a minimum of 12 years of relevant experience.

Key Responsibilities:

  • Develop and maintain big data solutions using Hadoop ecosystem components.
  • Write and optimize Hive and Impala queries.
  • Implement complex SQL queries for data manipulation and analysis.
  • Utilize AWS services such as Lambda and EMR for data processing.
  • Work with streaming technologies including Kinesis and Kafka.

Key Skills:

  • Extensive experience with Hadoop ecosystem components: HIVE, Pyspark, HDFS, SPARK, Scala.
  • Strong programming skills in Scala and Python.
  • Proficient in writing complex SQL queries.
  • Experience with AWS services including Lambda and EMR.
  • Knowledge of data pipelines and cluster management.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Sr Big Data Engineer with Hadoop, AWS, HIVE, HDFS, Pyspark, SQL, EMR, Lambda Scala, Spark, Python, Kafka -

Experience in Hadoop ecosystem components: HIVE,Pyspark, HDFS, SPARK, Scala, Streaming,(kinesis, Kafka) * Strong experience in Scala, PySpark, Phython development * Proficient with writing Hive and Impala Queries * Ability to write complex SQL queries * Experience with AWS Lambda, EMR, Clusters, Partitions, Datapipelies