Data Engineer - Databricks

A financial firm is looking for a Data Engineer - Databricks to join their team. This role is remote. Pay: $100-130/hr US Citizens or GC Holders Only No c2c - W2 Only Qualifications: - A Bachelor's Degree in Computer Science, Management Information Systems, Computer Engineering, or related field - 7+ years of experience in designing and building large-scale solutions in an enterprise setting - 3+ years designing and building solutions in the cloud - Expertise in building and managing Cloud databases such as AWS RDS, DynamoDB, DocumentDB or analogous architectures - Expertise in building Cloud Database Management Systems in Databricks Lakehouse or analogous architectures - Deep SQL expertise, data modeling, and experience with data governance in relational databases - Experience with the practical application of data warehousing concepts, methodologies, and frameworks using traditional (Vertica, Teradata, etc.) and current (SparkSQL, Hadoop, Kafka) distributed technologies - Refined skills using one or more scripting languages (e.g., Python, bash, etc.) - Embrace data platform thinking, design and develop data pipelines keeping security, scale, uptime and reliability in mind - Expertise in relational and dimensional data modeling - UNIX admin and general server administration experience - Experience with leveraging CI/CD pipelines - Presto, Hive, SparkSQL, Cassandra, or Solr; other Big Data query and transformation experience is a plus - Experience using Spark, Kafka, Hadoop, or similar distributed data technologies is a plus - Experience with Agile methodologies and able to work in an Agile manner is preferred - Experience using ETL/ELT tools and technologies such as Talend, Informatica is a plus - Expertise in Cloud Data Warehouses in Redshift, BigQuery or analogous architectures is a plus