Linux, Pyspark, Data Warehousing, Sql, Python, Waterfall methodologies, analytics platforms, large-scale data processing, DevOps practices

Hive, Data Modelling, Impala, Sql, Analytics, Data Analysis, data warehouse implementations, Cloudera Data Platform, DevOps deployment

Data Modelling, Sap Bo, Tableau, Python, Analytics, Data Analysis, data warehouse implementations, waterfall Agile methodology, DevOps deployment, data virtualisation tools like Denodo, ETL tools like Informatica

Java, Bteq, Ranger, Hadoop, Apache Spark, Kafka, Impala, Sql, Hive, Shell scripting, Informatica Powercenter, Etl, ATLAS, GCFR, Flink, Teradata, Iceberg, NiFi

Sql, Python, Etl, Data Warehousing, Spark, Apache Kafka, Data Modeling, Cloud Computing, Nosql, Big Data

Google Cloud Platform, Cloudformation, Prometheus, Bash, Elk Stack, Grafana, Docker, Terraform, Shell scripting, Microsoft Azure, Kubernetes, Python, AWS

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

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

Hadoop, PostgreSQL, Dynamodb, Apache Spark, Sql, ELT, Apache Airflow, Azure Data Factory, Pandas, Docker, Terraform, MySQL, Azure, Etl, AWS, IaC, CosmosDB

Java, python, Scala, Sql, Excellent Communication Skills, logical thinking ability