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Jobs or company...

10+ Data Engineer (Hadoop/Big Data/Google Cloud Platform)

Salary undisclosed

Apply on

Dice
Original
Simplified
Role: Data Engineer ( Hadoop/Big Data/Google Cloud Platform)
Location: Bentoville, AR - Onsite
Client: SpiceOrb/Walmart
Exp: 10+
Must have skills
Python
Pyspark
Spark
Kubernetes
Scala
Google Cloud Platform
SQL
Job Description:
Bachelor's degree in Computer Science, Computer Engineering or a software related discipline. A Master's degree in a related field is an added plus
6 + years of experience in Data Warehouse and Hadoop/Big Data
3+ years of experience in strategic data planning, standards, procedures, and governance
4+ years of hands-on experience in Python or Scala
4+ years of experience in writing and tuning SQLs, Spark queries
3+ years of experience working as a member of an Agile team
Experience with Kubernetes and containers is a plus
Experience in understanding and managing Hadoop Log Files.
Experience in understanding Hadoop multiple data processing engines such as interactive SQL, real time streaming, data science and batch processing to handle data stored in a single platform in Yarn.
Experience in Data Analysis, Data Cleaning (Scrubbing), Data Validation and Verification, Data Conversion, Data Migrations and Data Mining.
Experience in all the phases of Data warehouse life cycle involving Requirement Analysis, Design, Coding, Testing, and Deployment., ETL Flow
Experience in architecting, designing, installation, configuration and management of Apache Hadoop Clusters
Experience in analyzing data in HDFS through Map Reduce, Hive and Pig
Experience building and optimizing 'big data' data pipelines, architectures and data sets.
Strong analytic skills related to working with unstructured datasets
Experience in Migrating Big Data Workloads
Experience with data pipeline and workflow management tools: Airflow
Experience with scripting languages: Python, Scala, etc.
Cloud Administration
Primary Skills
SCALA , DATA CLEANING , DATA CONVERSION , PYTHON , TESTING , HADOOP , BIG DATA
Secondary Skills
HDFS , COMPUTER ENGINEERING , ARCHITECTING , APACHE HADOOP , LOG FILES , SCRIPTING LANGUAGES , DATA VALIDATION , BATCH PROCESSING , SPARK , AGILE , SQL , DATA MINING , MAP REDUCE , DATA SCIENCE , DESIGNING , KUBERNETES , DATA PIPELINE , DATA PLANNING , DATA PROCESSING
Regards,
Dhanunjai Reddy
Mail:
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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