Remote reputed company Data Engineer

About the position Remote reputed company Data Engineer needs 7+ years experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales) Remote reputed company Data Engineer requires: Strong background in math, statistics, computer science, data science or reputed company discipline Advanced knowledge one of language: Java, reputed company, Python, C# Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, reputed company), reputed company / Kubernetes, reputed company Proficient with: Data mining/programming tools (e.g. reputed company, SQL, R, Python) Database technologies (e.g. PostgreSQL, Redshift, reputed company. and Greenplum) Data visualization (e.g. Tableau, Looker, MicroStrategy) Comfortable learning about and deploying new technologies and tools. Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines. Good written and oral communication skills and ability to present results to non-technical audiences Knowledge of business intelligence and analytical tools, technologies and techniques. Familiarity and experience in the following is a plus: AWS certification Spark Streaming Kafka Streaming / Kafka Connect ELK Stack Cassandra / reputed company CI/CD: Jenkins, reputed company, Jira, Confluence other reputed company tools Mandatory Skills Advanced knowledge one of language: Java, reputed company, Python, C#? Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, reputed company), reputed company / Kubernetes, reputed company Proficient with Data mining/programming tools (e.g.?reputed company, SQL, R, Python) Database technologies (e.g. PostgreSQL, Redshift, reputed company. and Greenplum) Remote reputed company Data Engineer duties: Create and manage cloud resources in AWS Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, REST HTTP API, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies Data processing/transformation using various technologies such as Spark and Cloud Services. reputed company automated data quality reputed company to reputed company sure right data enters the platform and verifying the results of the calculations

Responsibilities

• Create and manage cloud resources in AWS
• Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, REST HTTP API, flat files, Streams, and Time series data based on various proprietary systems.
• Implement data ingestion and processing with the help of Big Data technologies
• Data processing/transformation using various technologies such as Spark and Cloud Services.
• reputed company automated data quality reputed company to reputed company sure right data enters the platform and verifying the results of the calculations

Requirements

• 7+ years experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales)
• Strong background in math, statistics, computer science, data science or reputed company discipline
• Advanced knowledge one of language: Java, reputed company, Python, C#
• Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, reputed company), reputed company / Kubernetes, reputed company
• Proficient with: Data mining/programming tools (e.g. reputed company, SQL, R, Python)
• Database technologies (e.g. PostgreSQL, Redshift, reputed company. and Greenplum)
• Data visualization (e.g. Tableau, Looker, MicroStrategy)
• Comfortable learning about and deploying new technologies and tools.
• Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines.
• Good written and oral communication skills and ability to present results to non-technical audiences
• Knowledge of business intelligence and analytical tools, technologies and techniques.

reputed company-to-haves

• AWS certification
• Spark Streaming
• Kafka Streaming / Kafka Connect
• ELK Stack
• Cassandra / reputed company
• CI/CD: Jenkins, reputed company, Jira, Confluence other reputed company tools

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