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The Senior Data Engineer will play a pivotal role in defining, implementing, and supporting Elevate Financial Services data engineering platform. The role involves working with diverse teams and subject matter experts to configure, deploy, and maintain data processes, ensuring the enhancement of the data ecosystem. The candidate focusing on data pipelines, warehousing, and integration.
Job Responsibilities
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Must Have:
Nice to Have:
Job ID: 153643803
Skills:
amazon emr , Pyspark, Apache Hadoop, S3, RDS, AWS Glue, Dynamodb, Sql, Lambda, Kinesis, Ec2, Amazon Redshift, Spark, Python, Step Functions, Iceberg, Glue, Athena
Skills:
Pyspark, Dimensional Modeling, Jira, Sql, Git, Confluence, Gcp, Azure, Python, Azure DevOps, AWS, Etl, cdc, Medallion Architecture, SAP HANA to Snowflake migration, Snowflake Architecture, dbt, ELT Development, SCD Type 1
Skills:
Metadata Management, Databricks, Python, Data lineage techniques, Master data management, Data modeling methodologies, Big Data storage architecture
Skills:
Postgres Sql, Debugging, Pyspark, Data Modeling, Data Warehousing, Sql, Data Analysis, Azure cloud ecosystem, Performance optimization, Enterprise data flows, ETL pipelines
Skills:
Hadoop, Pyspark, Kafka, Presto, Spark, Python, AI tools, Pinot, pgvector, Codex, vector databases, Claude, Pinecone, Flink, cloud data warehouses, Hudi, Milvus, Weaviate