Data Engineer at Digital Intelligence Systems, LLC in New York, New York

Job Description:

JOB DESCRIPTION

• Bachelor of Science in Computer Science, Engineering, Mathematics, Statistics, or related subject


• 2-5 years of experience in developing modern data pipelines and applications for analytics (e.g., BI, reporting, dashboards) and advanced analytics (e.g., machine learning, deep learning) use cases


• Expertise in SQL and the Python programming language


• Expertise designing and implementing data pipelines using modern data engineering approach and tools: SQL, Python, Delta Lake, Databricks, Spark, Glue, Nifi, Streamsets, cloud-native DWH (BigQuery, Snowflake, Redshift), Kafka/Confluence, Presto/Dremio/Athena


• Experience with developing solutions on cloud computing services and infrastructure with AWS


• Experience with database development using a variety of relational, NoSQL, and cloud database technologies


• Worked with BI tools such as Tableau, Qlick, PowerBI or cloud-native ones such as Looker, QuickSight


• Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, DWH, etc.


• Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics


• Excellent communication, listening, and influencing skills