Key skills
NoSQLETLData EngineeringAnalyticsSnowflakeDatabricksSparkKafkaHadoopCassandraAWSAzureGoogle CloudS3GCSSolrCommunication
About this role
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.