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Sr Data Engineer / Sr Big Data Engineer

Job Description

Requirements

•           Experience in Cloud platform AWS eco-system.

•           Data Engineering/Development experience with SQL (Snowflake, Oracle, SQL Server, MySQL).

•           Strong development background creating pipelines and complex data transformations and manipulations using one of the languages Python, Java, R, or Scala.

•           Experience in NoSQL Databases and Big data technologies including Hadoop, MongoDB, Cassandra.

•           Experience with API / RESTful data services.

•           Worked on real-time data capture, processing and storing using technologies like Kafka, AWS Kinesis.

•           Understanding of different data formats including Parquet, Avro, CSV, ORC etc

Qualification

•           BS in Computer Science or related field

•           10+ years of experience in the data and analytics space

•           Certification –preferably AWS Certified Big Data or any other cloud data platforms, big data platforms

•           Experience developing and implementing enterprise-level data solutions utilizing Python (Scikit-lean, Scipy, Pandas, Numpy, Tensorflow) , Java, Spark, and Scala, Airflow , Hive and Python.

•           Key aspects of software engineering such as parallel data processing, data flows, REST APIs, JSON, XML, and micro service architectures.

•           Experience working on Big Data Processing Frameworks and Tools – Map Reduce, YARN, Hive, Pig, Oozie, Sqoop, and good knowledge of common big data file formats (e.g., Parquet, ORC, etc.)

•           RDBMS concepts with Strong Data analysis and SQL experience

•           Linux OS command line tools and bash scripting proficiency

Job Requirements

Requirements

•           Experience in Cloud platform AWS eco-system.

•           Data Engineering/Development experience with SQL (Snowflake, Oracle, SQL Server, MySQL).

•           Strong development background creating pipelines and complex data transformations and manipulations using one of the languages Python, Java, R, or Scala.

•           Experience in NoSQL Databases and Big data technologies including Hadoop, MongoDB, Cassandra.

•           Experience with API / RESTful data services.

•           Worked on real-time data capture, processing and storing using technologies like Kafka, AWS Kinesis.

•           Understanding of different data formats including Parquet, Avro, CSV, ORC etc

Qualification

•           BS in Computer Science or related field

•           10+ years of experience in the data and analytics space

•           Certification –preferably AWS Certified Big Data or any other cloud data platforms, big data platforms

•           Experience developing and implementing enterprise-level data solutions utilizing Python (Scikit-lean, Scipy, Pandas, Numpy, Tensorflow) , Java, Spark, and Scala, Airflow , Hive and Python.

•           Key aspects of software engineering such as parallel data processing, data flows, REST APIs, JSON, XML, and micro service architectures.

•           Experience working on Big Data Processing Frameworks and Tools – Map Reduce, YARN, Hive, Pig, Oozie, Sqoop, and good knowledge of common big data file formats (e.g., Parquet, ORC, etc.)

•           RDBMS concepts with Strong Data analysis and SQL experience

•           Linux OS command line tools and bash scripting proficiency

Job Snapshot

Location US-TX-Irving
Employment Type Contractor
Pay Type Year
Pay Rate N/A
Store Type IT & Technical
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Company Overview

Infovision Consultants Inc

InfoVision was founded in 1995 by technology professionals with a vision to provide quality and cost-effective IT solutions worldwide. InfoVision is a global IT Services and Solutions company with primary focus on Strategic Resources, Enterprise Applications and Technology Solutions. Learn More

Contact Information

US-TX-Irving
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Snapshot
Infovision Consultants Inc
Company:
US-TX-Irving
Location:
Contractor
Employment Type:
Year
Pay Type:
N/A
Pay Rate:
IT & Technical
Store Type:

Job Description

Requirements

•           Experience in Cloud platform AWS eco-system.

•           Data Engineering/Development experience with SQL (Snowflake, Oracle, SQL Server, MySQL).

•           Strong development background creating pipelines and complex data transformations and manipulations using one of the languages Python, Java, R, or Scala.

•           Experience in NoSQL Databases and Big data technologies including Hadoop, MongoDB, Cassandra.

•           Experience with API / RESTful data services.

•           Worked on real-time data capture, processing and storing using technologies like Kafka, AWS Kinesis.

•           Understanding of different data formats including Parquet, Avro, CSV, ORC etc

Qualification

•           BS in Computer Science or related field

•           10+ years of experience in the data and analytics space

•           Certification –preferably AWS Certified Big Data or any other cloud data platforms, big data platforms

•           Experience developing and implementing enterprise-level data solutions utilizing Python (Scikit-lean, Scipy, Pandas, Numpy, Tensorflow) , Java, Spark, and Scala, Airflow , Hive and Python.

•           Key aspects of software engineering such as parallel data processing, data flows, REST APIs, JSON, XML, and micro service architectures.

•           Experience working on Big Data Processing Frameworks and Tools – Map Reduce, YARN, Hive, Pig, Oozie, Sqoop, and good knowledge of common big data file formats (e.g., Parquet, ORC, etc.)

•           RDBMS concepts with Strong Data analysis and SQL experience

•           Linux OS command line tools and bash scripting proficiency

Job Requirements

Requirements

•           Experience in Cloud platform AWS eco-system.

•           Data Engineering/Development experience with SQL (Snowflake, Oracle, SQL Server, MySQL).

•           Strong development background creating pipelines and complex data transformations and manipulations using one of the languages Python, Java, R, or Scala.

•           Experience in NoSQL Databases and Big data technologies including Hadoop, MongoDB, Cassandra.

•           Experience with API / RESTful data services.

•           Worked on real-time data capture, processing and storing using technologies like Kafka, AWS Kinesis.

•           Understanding of different data formats including Parquet, Avro, CSV, ORC etc

Qualification

•           BS in Computer Science or related field

•           10+ years of experience in the data and analytics space

•           Certification –preferably AWS Certified Big Data or any other cloud data platforms, big data platforms

•           Experience developing and implementing enterprise-level data solutions utilizing Python (Scikit-lean, Scipy, Pandas, Numpy, Tensorflow) , Java, Spark, and Scala, Airflow , Hive and Python.

•           Key aspects of software engineering such as parallel data processing, data flows, REST APIs, JSON, XML, and micro service architectures.

•           Experience working on Big Data Processing Frameworks and Tools – Map Reduce, YARN, Hive, Pig, Oozie, Sqoop, and good knowledge of common big data file formats (e.g., Parquet, ORC, etc.)

•           RDBMS concepts with Strong Data analysis and SQL experience

•           Linux OS command line tools and bash scripting proficiency

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Sr Data Engineer / Sr Big Data Engineer Apply now