Senior Data Engineer
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Job Description
We are seeking a highly skilled Snowflake Data Engineer to design, build, and optimize scalable data solutions using cloud and Snowflake. The ideal candidate will have hands-on experience in cloud-based data engineering, data warehousing, ETL/ELT development, and modern data architecture. The role involves collaborating with business stakeholders, data analysts, and data scientists to deliver robust and high-performance data platforms.
Must-Have Skills
Expert SQL Strong cloud experience (AWS/Azure/GCP) Data warehouse architecture Python Spark CI/CD
Job ID: 153652511
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:
Azure Data Factory, Scala, Azure Databricks, Python, Sql, Palantir
Skills:
Pyspark, Gcp, Cloud, Sql, Python, dbt, Data Modelling Concepts
Skills:
Metadata Management, Databricks, Python, Data lineage techniques, Master data management, Data modeling methodologies, Big Data storage architecture
