About this role
This role involves providing technical support for data management solutions, focusing on cloud data platforms, data warehousing, and unstructured data processing to enable analytics and AI applications.
Key Responsibilities
- Build customer relationships
- Conduct needs analysis
- Prepare product specifications
- Verify system operability
- Design and implement solutions
Technical Overview
The technical environment includes cloud data platforms like Snowflake, Databricks, and Redshift, with expertise in data warehousing, ETL/ELT, data governance, and unstructured data processing using tools like Spark, Kafka, and Airflow.
Ideal Candidate
The ideal candidate is a senior data engineer with extensive experience in cloud data platforms like Snowflake, Databricks, and Redshift. They possess strong SQL skills, expertise in data warehousing, and experience with unstructured data processing and data governance.
Must-Have Skills
Experience with cloud data platformsData warehousingSQL skillsData pipeline toolsData governance
Nice-to-Have Skills
Unstructured data processingVector databasesEmbedding modelsRAG architecturesSemantic searchData modelingPerformance tuning
Tools & Platforms
SnowflakeDatabricksBigQueryRedshiftClouderaSynapseElasticsearchMilvuspgvectorApache AirflowdbtApache SparkApache Kafka
Required Skills
Experience with cloud data platformsSnowflakeDatabricksBigQueryRedshiftClouderaSynapseData warehousingData lakesETLELTData engineeringUnstructured data processingPDFsLogsImagesTextSQLPerformance tuningData modelingStar schemaSnowflake schemaDimensional modelingPartitioningClusteringVector databasesElasticsearchMilvuspgvectorEmbedding modelsRAG architecturesDocument processing pipelinesChunking strategiesSemantic searchData pipeline toolsAirflowdbtSparkKafkaData governanceData catalogLineageSecurityRBACData maskingGDPRCCPABI toolsBusiness IntelligenceData science
Hard Skills
Cloud data platformsSnowflakeDatabricksBigQueryRedshiftClouderaSynapseData warehousingData lakesETLELTData engineeringUnstructured data processingPDFsLogsImagesTextSQLPerformance tuningData modelingStar schemaSnowflake schemaDimensional modelingPartitioningClusteringVector databasesElasticsearchMilvuspgvectorEmbedding modelsRAG architecturesDocument processing pipelinesChunking strategiesSemantic searchData pipeline toolsApache AirflowdbtApache SparkApache KafkaCloud-native ETL toolsBatch processingStreaming patternsData governanceData catalogData lineageData securityRBACData maskingGDPRCCPABI toolsBusiness IntelligenceData science
Soft Skills
Customer relationship managementNeeds analysisTechnical presentationSolution designProblem-solvingAnalytical thinking
Keywords for Your Resume
Senior Systems EngineerData Managementcloud data platformSnowflakeDatabricksBigQueryRedshiftClouderaSynapseData warehousingData lakesETLELTData engineeringUnstructured data processingPDFsLogsImagesTextSQLPerformance tuningData modelingStar schemaSnowflake schemaDimensional modelingPartitioningClusteringVector databasesElasticsearchMilvuspgvectorEmbedding modelsRAG architecturesDocument processing pipelinesChunking strategiesSemantic searchData pipelineAirflowdbtSparkKafkaData governanceData catalogLineageSecurityRBACMaskingGDPRCCPABI toolsBusiness IntelligenceData science
Deal Breakers
Lack of experience with cloud data platforms, No SQL or data modeling skills, No experience with data governance tools, No familiarity with ETL/ELT processes
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