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Showing 10 jobs
Skills:
Aws Lambda, Pyspark, AWS Glue, Amazon CloudWatch, Sql, Git, Kinesis, Terraform, Amazon Redshift, AWS IAM, Databricks, Python, AWS, Amazon EventBridge, Infrastructure as Code, AWS Step Functions, AWS Lake Formation, CI CD, Amazon MSK, Delta Lake
Skills:
uat coordination , Requirements Gathering, Power Bi, Tableau, Sql
Skills:
.NET, Java, Sql, IBM ODMe, JDA SP, CPLEX, Oracle SNO, Gurobi, constraint programming, Linear Programming
Skills:
data discovery , Data Modelling, Power Bi, PostgreSQL, Kafka, Tableau, Sql, ELT, Data Replication, Spark, Data Integration, Oracle, Etl, Airflow, StarRocks, MinIO, Troubleshooting, Trino
Skills:
data warehouses , snowflake , Java, Data Warehouse Concepts, Scala, Dimensional Modeling, Sql, Data Lake, Python, Airflow, dbt-core, Big Data processing frameworks, SCDs, lake house, data mesh, modern data warehouse
Skills:
S3, Pyspark, Apache Spark, Redshift, Sql, Apache Airflow, Lambda, Git, Kms, Cloudwatch, Kinesis, Terraform, Iam, Databricks, Python, AWS, Step Functions, MSK, EventBridge, Lake Formation, dbt, Glue, Delta Lake
Skills:
S3, Pyspark, Apache Spark, AWS Glue, Sql, Lambda, Git, Cloudwatch, Terraform, Iam, Databricks, Python, AWS, Step Functions, Lake Formation, Delta Lake, CI/CD
Skills:
Version Control, Power Bi, Pyspark, Sql, Databricks, Oracle, Python, Azure DevOps, DevOps practices, NoSQL databases, data visualization tools, Unity Catalog, Databricks LakeFlow Jobs, Microsoft Purview, CI CD pipelines, production inference environments, automated deployments, AI ML workflows, feature engineering, Azure-based data platforms, data governance frameworks
Skills:
S3, Pyspark, Lambda, Kinesis, Terraform, Python, AWS, Apache Spark, Redshift, Sql, Kms, Cloudwatch, Iam, Databricks, EventBridge, CI CD, Step Functions, workflow orchestration, MSK, Lake Formation, Git-based development, Glue, Delta Lake, infrastructure as code
Skills:
workflow management , Pyspark, Apache Spark, Data Warehousing, Google Cloud, Sql, Automated Testing, Data Modelling, Azure, Python, AWS, Validation, Data quality practices, Copilots, AI-enabled data engineering practices, Data orchestration, AI agents, Modern data architecture, Observability, Monitoring
