Lead Data Engineer

4 weeks ago


Atlanta, United States Global Channel Management Full time

Experienced Remote Lead Data Engineer Opportunity

Are you an experienced Data Engineer with a background in consumer finance or related industries? We are looking for a motivated professional with at least 7 years of experience to join our remote team.

Qualifications

7+ years of experience as a data engineer in consumer finance or equivalent industry Strong background in math, statistics, computer science, data science, or related discipline Advanced knowledge in at least one of the following languages: Java, Scala, Python, C# Production experience with various technologies including HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake Proficiency in data mining/programming tools (e.g. SAS, SQL, R, Python) and database technologies (e.g. PostgreSQL, Redshift, Snowflake, Greenplum) Experience with data visualization tools such as Tableau, Looker, MicroStrategy Ability to learn about and deploy new technologies and tools Strong organizational skills with the ability to manage multiple projects and meet deadlines Excellent written and oral communication skills with the ability to present to non-technical audiences Knowledge of business intelligence and analytical tools, technologies, and techniques

Additional Skills

AWS certification Experience with Spark Streaming, Kafka Streaming / Kafka Connect, ELK Stack, Cassandra / MongoDB Familiarity with CI/CD tools such as Jenkins, GitLab, Jira, Confluence

Responsibilities

Create and manage cloud resources in AWS Ingest data from various sources using different technologies such as RDBMS, REST HTTP API, flat files, Streams, and Time series data based on proprietary systems Process and transform data using technologies like Spark and Cloud Services Develop automated data quality checks to ensure accurate data entry and verify calculation results

If you are a skilled Data Engineer looking for a remote leadership opportunity where you can utilize your expertise in data processing and cloud technologies, apply now to be considered for this role.

Employment Type: Full-Time #J-18808-Ljbffr


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