Snowflake Data Engineer

Role: Snowflake Data Engineer

Work location: Plano, TX (Remote)

Type: Contract

Job Duties:

• Configure Snowflake objects for CHATS / DECL virtualization and test them.
• Design / modify MuleSoft ETL jobs and Snowflake tables to ingest new attributes.
• Refine / implement ETL pipelines to fix data quality issues
• Build and unit test components of the consolidated data platform Inventory PII locations and implement column, row and tag based security in Snowflake.
• MDM focused engineers (IDXR) analyse mismatches, pass critical data elements, and validate matching results
• Deep dive profiling to quantify match failures and data anomalies
• Support testing and certification of improved match logic.

Basic Qualifications:

• Undergraduate or Graduate degree
• 8+ years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects.
• 2+ years of experience leading a team supporting data related projects to develop end-to-end technical solutions.
• Ability to travel at least 25%. 

Preferred Skills:

• Demonstrate production experience in core data platforms such as Snowflake, Databricks, AWS, Azure, Google Cloud Platform, Hadoop, and more.
• Possess hands-on knowledge of Cloud and Distributed Data Storage, including expertise in HDFS, S3, ADLS, GCS, Kudu, Elastic Search/Solr, Cassandra, or other NoSQL storage systems.
• Exhibit a strong understanding of Data integration technologies, encompassing Spark, Kafka, eventing/streaming, Streamsets, NiFi, AWS Data Migration Services, Azure Data Factory, Google DataProc.
• Showcase professional written and verbal communication skills to effectively convey complex technical concepts.