Linux, Pyspark, Data Warehousing, Python, Sql, analytics platforms, DevOps practices

Java, Bteq, Ranger, Hadoop Ecosystem, Apache Spark, Kafka, Teradata Sql, Impala, Hive, GCFR shell scripts, ATLAS, ETL ELT Development using Informatica Power Center and Teradata, Flink, Iceberg, QueryGrid, Trino, Nifi

JIRA, Sql, Google Cloud, Git, Shell Scripts, Docker, Terraform, Databricks, Azure, Python, AWS, Airflow

Pl Sql, Shell Scripting, Python, cloud-based environment

Data virtualization platforms e.g. Denodo - preferred, SQL and relational databases e.g. PostgreSQL, Data preparation or data science platforms e.g. Dataiku - preferred, Python for data processing, Data engineering or ETL ELT platforms, Data modelling tools and diagramming

Teradata Sql, Informatica Powercenter, Apache Spark, Hadoop Ecosystem, Etl Development, Hive, Impala, Spark, Shell Scripting, Java

Machine Learning, Apis, Agile Methodologies, JIRA, React, MLops, Javascript, Azure, Python, AWS, Generative AI, Ai, SQL databases

Java, Gcp, Scala, Spark, Kafka, Azure, Sql, Python, AWS, Airflow, Flink

Spark SQL, T-sql, Data Factory, Power Bi, Json, Sql, Pandas, Azure Machine Learning, Python, Parquet, OneLake, Microsoft Entra ID, scikit-learn, Lakehouse Data Warehouse, Azure AI Services, Microsoft Purview, Delta Lake, Microsoft Fabric

Sql, Python, AI LLM-based systems, analytics infrastructure, data pipelines, Agent Development Kit, data architecture design, Cider Agents, enterprise-scale data platforms, Gemini Command-line Interface, LLM Extensions, machine learning operations