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Role:
As a Senior Databricks Engineer you will be responsible for automating platform operations, managing CI/CD pipelines, and supporting deployments across multiple environments. The role ensures platform stability, security, and scalability while enabling faster and more reliable software delivery.
Key Responsibilities:
Required Qualifications:
Why join us
Job ID: 151833739
Skills:
snowflake , Sql, ELT, Nosql, Docker, Gitlab, Databricks, Rest Apis, Kubernetes, Python, Azure DevOps, Etl, GitHub Actions, Microsoft Fabric
Skills:
Pyspark, Data Modeling, ELT, Cloud Storage, Numpy, Docker, Terraform, Python, BigQuery, Sql, Jenkins, Pandas, Spark, Kubernetes, Etl, GCP Core Services, Infrastructure as Code, Cloud Dataflow, Real-time streaming architectures, CI CD, Pub Sub, Cloud Run, GitHub Actions, API integrations, Cloud Functions, Cloud Dataproc, Cloud Composer Airflow
Skills:
data engineering , snowflake , Pyspark, Scala, PostgreSQL, Kafka, Microsoft Sql Server, Bash, Kotlin, Redshift, Numpy, Pandas, Gcp, Kinesis, Linux, MySQL, Databricks, Azure, Python, AWS, Go, Dask
Skills:
Spark SQL, Distributed Computing, Metadata Management, Pyspark, Data Warehousing, Apache Spark, Kafka, Sql, Data Quality, Git, Kinesis, Databricks, Data Integration, Python, AWS, CI CD, streaming technologies, lakehouse architecture, access controls, Delta Lake, lineage governance, Databricks Workflows
Skills:
Hadoop, Scala, Data Governance, Data Modeling, Data Warehousing, Sql, ELT, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Spark, Microsoft Azure, Databricks, Python, Etl, DevOps practices, Azure Blob Storage, HDInsight, Privacy protocols, Compliance standards