Data Engineer

5 months ago

Mumbai, India Vertoz Full time

Job Description

Whatwe want: We are looking for a savvy DataEngineer to join our growing team of analytics experts. The hire will beresponsible for expanding and optimizing our data and data pipeline architecture,as well as optimizing data flow and collection for cross functional teams. Theideal candidate is an experienced data pipeline builder and data wrangler who enjoysoptimizing data systems and building them from the ground up. Whowe are: Vertoz (NSEI: VERTOZ), an AI-powered MadTech and CloudTech Platform offering Digital Advertising, Marketing and Monetization (MadTech) & Digital Identity, and Cloud Infrastructure (CloudTech) caters to Businesses, Digital Marketers, Advertising Agencies, Digital Publishers, Cloud Providers, and Technology companies. For more details, please visit our website . 
What you will do:
•Responsible for the documentation, design,development, and architecture of Hadoop applications.
•Must have at least 3 years of hands-on workingknowledge on Big Data technologies such as Impala, Hive, Hadoop, Spark, Spark
streaming, Kafka etc.
•Excellent programming skills in python.
•Experience with stream-processing systems:Storm, Spark-Streaming, etc.
•Experience with relational SQL and NoSQLdatabases, including Vertica.
•Experience with cloud services.
•Cloudera Hadoop Distribution, Shell Scripting,Superset, Hands on with cluster management.
•Development: Create and maintain scalable bigdata applications using Python, Spark, Hive, and Impala.
•Data Pipelines: Develop and optimize dataprocessing pipelines to handle large datasets.
•Integration: Implement data ingestion,transformation, and loading processes.
•Collaboration: Work with data scientists andanalysts to meet data requirements.
•Quality Control: Ensure data quality, integrity,and security.
•Performance: Monitor and troubleshootperformance issues to improve efficiency.
•Documentation: Participate in code reviews,testing, and documentation.
•Learning: Stay updated with industry trends andadvancements in big data technologies.

Requirements

•Bachelor’s or Master’s degree inComputer Science, IT, or related field.
•3 years in a Big Data Developerrole.
•Proficiency in Python.
•Strong experience with Apache Spark.
•Hands-on experience with Hive and Impala.
•Familiarity with Hadoop, HDFS, Kafka, and otherbig data tools.
•Knowledge of data modeling, ETL processes, anddata warehousing concepts.
•Soft Skills: Excellent problem-solving,communication, and teamwork skills

Benefits

•No dress codes
•Flexible workinghours
•5 days working
•24 Annual Leaves
•InternationalPresence
•Celebrations
•Team outings


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