Data Engineer, Python, Sql, Pandas, BigQuery, Etl, Docker, Polar

snowflake , Kubernetes, Sql, Emr, Dynamodb, Cloud Watch, Pyspark, Kafka, AWS, Sns, Python, Sqs, Iam, Docker, Terraform, Jenkins, Redshift, Spark, SecretManager, Step Functions, Glue, dbt

Databases, Pyspark, AWS Glue, Data Warehousing, Redshift, Python, Airflow, AWS services S3, Data Lake concepts, dbt, Advanced SQL and performance tuning

Debugging, Pyspark, Data Warehousing, Sql, Data Analysis, Postgres SQL or similar RDBMS, Data modeling fundamentals, Performance optimization, Azure cloud ecosystem or equivalent cloud platforms, ETL pipelines

Github, Adf, Azure Databricks, Python, Databricks Apps, Azure SQL DB, Medallion Architecture, CI CD, Prompt Engineering, Azure AI Foundry, Llm

ETL tools - SAP BODS, Sql, Azure Databricks, Pl Sql, Python, Snaplogic, Tableau, Microsoft Azure, AI ML tools

Azure Synapse Analytics, Sql, Github, Apache Spark, Scala

data discovery , Metadata Management, Kafka, Slas, Data Modeling, Python, Data Lineage, Google Cloud Platform, Sql, Query Optimization, Data Quality, Clustering, cdc, data pipelines, observability practices, dimensional models, Google BigQuery, data versioning, Pub Sub, data lakehouse principles, streaming architectures, Parquet, SCDs, AI ML use cases, SLOs, partitioning, Google Cloud Storage

Power Bi, Pyspark, Pl Sql, Azure Databricks, Data Architecture, Power Query, Sql, Git, Azure Data Factory, Azure Data Lake, Dax, Oracle, Python, Azure DevOps, Azure Fabric