S3, PostgreSQL, Kafka, Emr, Redshift, Apache Airflow, Kinesis, Spark, Databricks, Python, AWS, Elasticache

.NET, data monitoring , Java, Data Quality, Scala, Data Governance, Python, Data Processing, data ingestion

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, Apache Airflow, Git, Azure Data Factory, Terraform, Docker, Shell scripting, Databricks, Microsoft Azure, Python, AWS

Java, Apis, Kafka, Data Extraction, Python, Generative AI, event-driven systems, microservices-based architectures, Transformation, querying techniques, large language models, real-time data streaming

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

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

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

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

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