High Salary Data Engineer

3 weeks ago


Mumbai, Maharashtra, India Vertoz Full time

What we want We are looking for a savvy Data Engineer to join our growing team of analytics experts The hire will be responsible for expanding and optimizing our data and data pipeline architecture as well as optimizing data flow and collection for cross functional teams The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up Who we 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 working knowledge 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 NoSQL databases including Vertica Experience with cloud services Cloudera Hadoop Distribution Shell Scripting Superset Hands on with cluster management Development Create and maintain scalable big data applications using Python Spark Hive and Impala Data Pipelines Develop and optimize data processing pipelines to handle large datasets Integration Implement data ingestion transformation and loading processes Collaboration Work with data scientists and analysts to meet data requirements Quality Control Ensure data quality integrity and security Performance Monitor and troubleshoot performance issues to improve efficiency Documentation Participate in code reviews testing and documentation Learning Stay updated with industry trends and advancements in big data technologies Requirements Bachelors or Masters degree in Computer Science IT or related field 3 years in a Big Data Developer role Proficiency in Python Strong experience with Apache Spark Hands-on experience with Hive and Impala Familiarity with Hadoop HDFS Kafka and other big data tools Knowledge of data modeling ETL processes and data warehousing concepts Soft Skills Excellent problem-solving communication and teamwork skills Benefits No dress codes Flexible working hours 5 days working 24 Annual Leaves International Presence Celebrations Team outings



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