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Experience in migrating data from on-prem Hadoop to Databricks/AWS. AWS Cloud, Databricks, Unity Catalog, Python, PySpark. and have hands on experience in setting up Databricks cluster, working in Databricks modules (Data Engineering, ML and SQL warehouse.
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1-2 Migration project level experience from Hadoop ecosystem to Azure Databricks & related DBs along with data integration job migration. Good knowledge and Proven practical experience in migrating relational data base from on-prem to cloud OR to build cloud-based data lake using either Big Data / Azure Synapse / Databricks / Snowflake.
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Minimum 9 years of experience with big data technologies IE Hadoop, Apache Spark, and/or Databricks. Experience deploying and automating data pipelines using Azure Databricks and Azure DevOps.
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6-8 years of strong experience in Spark, Python, Shell Scripting, PostgreSQL, Hadoop, AWS (S3, EC2, SNS, SQS, Lambda, ECS, Glue, IAM, and CloudWatch), Databricks (Delta lake, Notebooks, Pipelines, cluster management, Azure/AWS integration.
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Prior experience with data engineering tools and frameworks like Airflow, Kafka, Hadoop, Spark, Kubernetes. Hands-on experience in implementing Data Lake/Data Warehouse with technologies like – Databricks, Azure Synapse Analytics, SQL Database, AWS Lake formation.
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Direct experience of building data pipelines using Azure Data Factory and Apache Spark (preferably in Databricks). Job Title:- Databricks Azure Engineer. Designing and implementing highly performant data pipelines from multiple sources using Apache Spark and/or Azure Databricks.
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Data platform: Hadoop, Hbase, OpenSearch, Kafka, Spark, Flink, Go, Java, SQL, Databricks, Snowflake, BigQuery. Experience with big data and workflow management technologies like Hadoop, Spark, Redshift, Athena, Airflow, etc.
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5+ years working experience with key open source big-data projects as a contributor or committer including Apache Spark, Apache Flink, Trino, Apache Kafka, Apache Hive, Apache Arrow, Apache Hadoop, Delta Lake, Apache Iceberg.
$268,000 - $414,000 a yearFull-timeExpandApply NowActive JobUpdated 83 days ago - UpvoteDownvoteShare Job
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Expertise in Python and SQL, with working experience in Apache Spark, Hadoop, Databricks, Snowflake, or other big data systems is preferred. Design, implement, deploy, and maintain deep learning and Client models using cloud technologies (e.g., Azure Databricks, MLFlows and Azure Client.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Possess hands-on experience in designing and maintaining data warehouses and/or data lakes using big data technologies such as Hadoop, Spark, and specially DataBricks. Hands-on experience and strong technical knowledge with DataBricks, particularly focusing on Apache Spark fundamentals, including Spark Architecture, its API's, and how to leverage it for data processing and analysis.
Full-timeExpandApply NowActive JobUpdated 1 days ago - UpvoteDownvoteShare Job
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BS, MS, or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, Economics or related quantitative fields. Experience in LLMs/Open Source LLMs (like ChatGPT, LLama, Falcon, Vicuna, Bard, etc.
Full-timeExpandApply NowActive JobUpdated 1 days ago - UpvoteDownvoteShare Job
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Experience with Databricks UI, Managing Databricks Notebooks, Delta Lake with Python, DeltaLakewith Spark SQL, Delta Live Tables, Unity Catalog. 3+ years of experience with Big Data tools/technologies like Hadoop, Spark, Spark SQL, Kafka,Sqoop, Hive, S3, HDFS, or.
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Experience with big data technologies (e.g., Databricks, Hadoop, Spark) and cloud platforms (e.g., Azure, AWS) is a plus. ex., Databricks, Hadoop, Spark) et avec les plateformes de nuage (p.
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The Data Platform team is responsible for ingestion of tens of thousands of events per second, data Lakehousing (Databricks), OLTP stores (Hbase, OpenSearch) and APIs. The customers of the Data Platform are the internal business units who use it for data engineering, AI/ML, and Business Intelligence.
$130,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated 1 days ago - UpvoteDownvoteShare Job
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Data platform: Hadoop, Hbase, OpenSearch, Kafka, Spark, Flink, Go, Java, SQL, Databricks, Snowflake, Hands-on experience with data engineering software for batch and stream processing at a scale of billions of events per day and petabytes of data stored such as like Spark, Flink, Kafka, EMR, Databricks, Snowflake, etc.
$171,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 1 days ago
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