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

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

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

Java, Python, Data lakes, Data Catalog, NoSQL databases, 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

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

Ranger, SAP, Performance Tuning, Hadoop Ecosystem, Kafka, Teradata Sql, Shell scripting, Informatica Powercenter, Oracle, Java, Bteq, Apache Spark, Impala, Hive, Flink, Framework building automation, Data governance tools, Trino, Data pipeline orchestration, GCFR framework, NiFi, Streaming tools, MDM implementation, ATLAS, CDC concepts, Iceberg, QueryGrid

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