and ETL/ELT workflows utilizing Databricks, Spark, and Python. Partner with cross-functional teams to gather requirements... pipelines using Databricks, Spark, SQL, and Python. Significant experience with Azure cloud services;exposure to other cloud...
technologies like Apache Spark, PySpark, and Hive within a dynamic cloud environment. Your primary objective will be to ensure the..., and maintain highly scalable and efficient ETL/ELT data pipelines utilizing PySpark and Spark SQL for complex data transformations...
analytics. Exposure to distributed computing technologies such as Spark, Ray, or Scala is highly preferred. Experience...
& schema design, ETL/ELT processes Cloud: GCP (BigQuery, AlloyDB, Dataflow), Cloud SQL, Dataflow / Daturic Data Tools: Spark...), Data validation & reconciliation Apache Spark / PySpark, Apache Kafka or Pub/Sub Apache Airflow (orchestration) DevOps...
tools (e.g., Apache Spark(Dataproc), GCP Tools, Databricks, PySpark). 3 Years of experience building ETL and Data... and ETL architecture, practical experience with cloud-based data platforms (preferably GCP with Databricks/Apache Spark...
. Experience with cloud platforms (AWS, Azure) and big data technologies (Spark, Snowflake)...
, Spring Boot, Spring Cloud, RESTful services, Kafka, Swagger, Spark, MongoDB, Flink, Ab Initio, Docker, Kubernetes... Architecture, Data Modeling, MongoDB, Flink, Spark, Data Lakes, DWs, Big Data platforms & ETL / data pipelines (streaming, batch...
Bundles Knowledge of distributed systems such as (Spark, Dask, Flink) and streaming platforms (Kafka, Kinesis, Pulsar...
are fit for the consumers who rely on them. Performance & Scale: Optimize SQL and Spark workloads, partitioning, storage.../cloud environments. Production experience with Databricks, Spark, and Delta Lake, plus working knowledge of SQL Server...
and Spark Design and maintain processes to integrate and transform source data into curated, analytics-ready data layers...