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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:
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:
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 , Data Management, Hadoop, Performance Tuning, Dimensional Modeling, Data Modeling, Redshift, Sql, Data Quality, Hive, Spark, Data Integration, Python, Airflow, big data systems, data warehouse scaling, ETL pipelines
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:
Apache Airflow, Azure Data Factory, Databricks, Python, Sql