Job Description: Remote Lead 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 Lead Data Engineer requires: Strong background in math, statistics, computer science, data science or related discipline
- Advanced knowledge one of language: Java, Scala, Python, C#
- Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake
• Proficient with:
- Data mining/programming tools (e.g. SAS, SQL, R, Python)
- Database technologies (e.g. PostgreSQL, Redshift, Snowflake. 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 / MongoDB
- CI/CD: Jenkins, GitLab, Jira, Confluence other related tools
Mandatory Skills Advanced knowledge one of language: Java, Scala, Python, C#? Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake Proficient with Data mining/programming tools (e.g.?SAS, SQL, R, Python) Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum) Remote Lead 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 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.
- Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations
Company Description: Global Channel Management is a technology company that specializes in various types of recruiting and staff augmentation. Our account managers and recruiters have over a decade of experience in various verticals. GCM understands the challenges companies face when it comes to the skills and experience needed to fill the void of the day to day function. Organizations need to reduce training and labor costs but at same requiring the best “talent ” for the job
PostgreSQL GitLab Tableau Amazon Web Services (AWS) Apache Spark greenplum Apache Kafka hdfs snowflake-cloud-data-platform oozie Looker Docker Airflow microstrategy Cassandra apache-kafka-connect C# Elastic Stack Yarn SAS spark-streaming Scala Python Amazon Redshift MongoDB R Confluence Apache Hive apache-kafka-streams Jira SQL Kubernetes Java Jenkins