PySpark QA
6 months ago
JOB DESCRIPTION
Skill: PySpark QA
Role / Tier: Lead Software Engineer/Tier 2
Experience: 6 – 9 years
Job Description:
Primary Skills
BIG Data technology mentioned below Hadoop / Big Data (HDFS, PYTHON, SPARK-SQL, MapReduce) with PYSpark.
build CI/CD pipelines
Spark APIs to cleanse, explore, aggregate, transform, store & analyse
installing, configuring, debugging and troubleshooting Hadoop clusters
Secondary Skills
Cloud-based infrastructure , AWS services EC2, EMR, S3, Lambda, EBS, IAM, Redshift, RDS
deploying and managing ETL pipelines, RDBMS technologies (PostgreSQL, MySQL, Oracle, etc.).
knowledge of data frames, Pandas , data visualization tools & data mining .
knowledge of JIRA, Bitbucket GitHub
JD
Seeking a developer to develop, enhance, in a Pyspark -QA role.
Responsibility
Experience with BIG Data technology mentioned below Hadoop / Big Data (HDFS, PYTHON, SPARK-SQL, MapReduce) with PYSpark.
Hands-on experience in build CI/CD pipelines is required Outstanding coding, debugging and analytical skills, Core problem solving skills
eliminate possible solutions and select an optimal solution.
Experience in installing, configuring, debugging and troubleshooting Hadoop clusters is desired skill.
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