(10+ Years) Sr. Data Engineer with Google Cloud Platform, Spark, Scala : Dallas, TX (Hybrid)
Role:
Sr.
Google Cloud Platform Data Engineer with Spark, Scala Location:
Dallas, TX/ SFO, CA (Hybrid) Duration:
Long Term Mandatory:
Spark 8
Yrs of Exp Scala 8
Yrs of Exp Google Cloud Platform 3
Yrs of Exp Hive 8
Yrs of Exp SQL - 8
Yrs of Exp ETL Process / Data Pipling - 8
Years of experinece Retail (preferred) Requirements:
12
years of hands-on experience with developing data warehouse solutions and data products.
4
years of hands-on experience developing a distributed data processing platform with Hadoop, Hive,Scala, Airflow or a workflow orchestration solution are required 4
years of experience in Google Cloud Platform,GCS Data proc, BIG Query 2
years of hands-on experience in modeling(Erwin) and designing schema for data lakes or for RDBMS platforms.
Experience with programming languages:
Python, Java, Scala, etc.
Experience with scripting languages:
Perl, Shell, etc.
Practice working with, processing, and managing large data sets (multi TB/PB scale).
Exposure to test driven development and automated testing frameworks.
Background in Scrum/Agile development methodologies.
Capable of delivering on multiple competing priorities with little supervision.
Excellent verbal and written communication skills.
Bachelor's Degree in computer science or equivalent experience.
Thanks, Lokesh Kumar Cell:
Email:
(10
Years) Sr.
Data Engineer with Google Cloud Platform, Spark, Scala :
Dallas, TX (Hybrid) Recommended Skills Agile Methodology Airflow Apache Hadoop Apache Hive Apache Spark Big Data Estimated Salary: $20 to $28 per hour based on qualifications.
Sr.
Google Cloud Platform Data Engineer with Spark, Scala Location:
Dallas, TX/ SFO, CA (Hybrid) Duration:
Long Term Mandatory:
Spark 8
Yrs of Exp Scala 8
Yrs of Exp Google Cloud Platform 3
Yrs of Exp Hive 8
Yrs of Exp SQL - 8
Yrs of Exp ETL Process / Data Pipling - 8
Years of experinece Retail (preferred) Requirements:
12
years of hands-on experience with developing data warehouse solutions and data products.
4
years of hands-on experience developing a distributed data processing platform with Hadoop, Hive,Scala, Airflow or a workflow orchestration solution are required 4
years of experience in Google Cloud Platform,GCS Data proc, BIG Query 2
years of hands-on experience in modeling(Erwin) and designing schema for data lakes or for RDBMS platforms.
Experience with programming languages:
Python, Java, Scala, etc.
Experience with scripting languages:
Perl, Shell, etc.
Practice working with, processing, and managing large data sets (multi TB/PB scale).
Exposure to test driven development and automated testing frameworks.
Background in Scrum/Agile development methodologies.
Capable of delivering on multiple competing priorities with little supervision.
Excellent verbal and written communication skills.
Bachelor's Degree in computer science or equivalent experience.
Thanks, Lokesh Kumar Cell:
Email:
(10
Years) Sr.
Data Engineer with Google Cloud Platform, Spark, Scala :
Dallas, TX (Hybrid) Recommended Skills Agile Methodology Airflow Apache Hadoop Apache Hive Apache Spark Big Data Estimated Salary: $20 to $28 per hour based on qualifications.
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