snowflake , Gcp, Scala, Spark, Databricks, Azure, Python, Sql, ELT, Etl, AWS

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

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

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

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

Metadata Management, Pyspark, Amazon S3, AWS Glue, Automated Testing, Data Modeling, Sql, ELT, Terraform, Data Governance, Python, Etl, Infrastructure as Code, Amazon Athena, deployment practices, AWS CDK, AWS Lake Formation

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