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Job Summary:
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:
Must Have:
Nice to Have:
Job ID: 153645835
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:
amazon emr , Pyspark, Apache Hadoop, S3, RDS, AWS Glue, Dynamodb, Sql, Lambda, Kinesis, Ec2, Amazon Redshift, Spark, Python, Step Functions, Iceberg, Glue, Athena
Skills:
Metadata Management, Databricks, Python, Data lineage techniques, Master data management, Data modeling methodologies, Big Data storage architecture
Skills:
snowflake , PostgreSQL, BI, Informatica, Performance Tuning, ELT, Data Migration, Python, AWS, Pyspark, Ml, Data Modelling, SQL Server, Redshift, UNIX, Sql, Powerbi, Linux, MongoDB, Data Warehouse, Aws S3, Etl, Fivetran, Ai, Looker, Cloud Data Warehouse, dbt, Stored Procedures, Hyperion
Skills:
snowflake , Data Modeling, Pyspark, PostgreSQL, Data Warehouse, ELT, Oracle, Python, Azure DevOps, Spark SQL, SQL Server, Apache Spark, Sql, Git, Azure Data Factory, Data Lake, Databricks, Etl, Medallion Architecture, CI CD, Lakehouse, Azure Data Engineering, Delta Lake, Microsoft Fabric