Senior Data Engineer (Azure + Snowflake)
- Posted 22 hours ago
- Be among the first 10 applicants
Job Description
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.
- 7+ years of data engineering
- Expert SQL
- Strong cloud experience (AWS/Azure/GCP)
- Data warehouse architecture
- Python
- Spark
- CI/CD
- Infrastructure as Code (Terraform preferred)
- Experience with Snowflake or another modern cloud data warehouse such as Redshift, Synapse, Big Query, Databricks SQL, or Teradata
Must-Have Skills
Expert SQL Strong cloud experience (AWS/Azure/GCP) Data warehouse architecture Python Spark CI/CD
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Key Skills
About Company
Skills:
Data Modeling, Azure Data Bricks, Pyspark, Apache Spark, Data Governance, Api Integration, Sql, Devops, Git, Azure Functions, Terraform, Azure Synapse Analytics, Azure Data Lake, Python, Snowflake Data Warehouse Development, Airflow, Logic Apps, Performance tuning and optimization, Key Vault, CI CD, dbt, Azure Data Engineering Services
Skills:
data warehouses , snowflake , Spark, Sql, Java, Hadoop, Tableau, Pandas, BigQuery, Etl, Cassandra, Hive, Neo4j, Scala, ELT, Aws Services, Numpy, Redis, Powerbi, Python, Azure Synapse, MongoDB, Redshift, Airflow, Stitch, Map Reduce, Matillion, AWS QuickSight, Azure services, Data Lakes, Fivetran
Skills:
snowflake , Kafka, Azure Data Factory, PowerShell, Airflow, dbt