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Data Engineer - Databricks

New York, New York, United StatesOnsiteContract$100–$130 /hrPosted 1 month agoVisa sponsorship available

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Role summary

A financial firm is seeking a remote Data Engineer with expertise in Databricks Lakehouse and cloud databases. The role requires strong SQL, data modeling, and data warehousing skills, along with proficiency in scripting languages like Python or Bash. The engineer will design and build large-scale, secure, and reliable data pipelines and solutions in an enterprise cloud environment. Experience with CI/CD, traditional databases, and distributed data technologies is also expected. Preferred qualifications include experience with Spark, Kafka, Hadoop, Agile methodologies, ETL/ELT tools, and cloud data warehouses like Redshift or BigQuery.

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

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