Google Cloud Engineer – Hybrid

Job title: Google Cloud Engineer – Hybrid

Firm: eTeam

Job description: Should Have Abilities:

GCP

Bigdata

Teradata

Detailed Job Description:

• General 8+ years {of professional} IT and round 5 years of experience in Bigdata utilizing Hadoop framework Evaluation, Design, Improvement, Documentation, Deployment, and Integration utilizing SQL and Massive Knowledge applied sciences.

• 5+ years’ expertise with Google Cloud Providers similar to Streaming + Batch, Cloud Storage, Cloud Dataflow, Cloud Pub/Sub , Cloud Composer , Knowledge Proc , DFunc, Massive Question & Massive Desk

• Accountable for constructing scalable distributed knowledge options utilizing Hadoop.

• Expertise in implementing numerous Massive Knowledge Analytical, Cloud Knowledge engineering, Knowledge Warehouse/ Knowledge Mart, Knowledge Visualization, Reporting, Knowledge High quality, and Knowledge virtualization options.

• Expertise in offering ETL options for any sort of enterprise mannequin.

• Created procedures, macros in Teradata

• Expertise in shifting excessive and low quantity knowledge objects from Teradata and Hadoop to snowflake.

• Develop the script recordsdata for processing knowledge and loading to HDFS. Written CLI instructions utilizing HDFS. Develop the UNIX shell scripts for creating the stories from Hive knowledge.

• Expertise in writing SQL queries, PL/SQL programming and Question Degree Efficiency tuning.

• In Depth understanding and utilization of TERADATA OLAP features. Proficient in TERADATA SQL, Saved Procedures, Macros, Views, Indexes Main, Secondary, PPI, Be part of indexes and many others.

• Palms on expertise with completely different programming languages similar to Java, Python, Scala. Expertise in utilizing completely different Hadoop eco system elements similar to HDFS, YARN, MapReduce, Spark, Pig, Sqoop, Hive, Impala, HBase, Kafka, and Crontab instruments

Anticipated wage:

Location: Tampa, FL

Job date: Sat, 14 Jan 2023 05:32:08 GMT

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