data engineering , S3, Amazon Web Services, Dynamodb, Tableau, Microservices, Elasticsearch, Software Engineering, Spark, Databricks, Restful Apis, Python, Spark-Streaming

Power Bi, Apache Spark, Databricks, Azure, Python, Sql, SODA or equivalent data quality observability tools, CI CD for data pipelines, Delta Lake, Atlan or similar data catalog and metadata platforms

Databricks, Power Bi, Sql, Python, Azure, Apache Spark, CI CD for data pipelines, SODA or equivalent data quality observability tools, Atlan or similar data catalog and metadata platforms, Delta Lake

snowflake , Apis, Sql, Databricks, Microservices, Java, Distributed Systems, Devops, Kafka, BigQuery, Python, Azure, Gcp, Redshift, Spark, Airflow, governance frameworks, Reconciliation, Data quality lineage

Apache Spark, Databricks, Azure, Python, Sql, CI CD for data pipelines, Delta Lake

snowflake , Algorithms, Databricks, Microservices, Automated Testing, Reactjs, Accessibility, Agile Methodologies, Coding Standards, Azure, Git, Oracle Pl Sql, data structures, CI CD integration, distributed processing frameworks, data pipelines, frontend architecture design patterns, data Lakehouse, modern frontend technologies, containerized applications, unit testing strategies, AI tools, UI performance optimization

snowflake , Automated Testing, Microservices, Git, Oracle Pl Sql, Reactjs, Databricks, Azure, AI tools, data pipelines, frontend technologies, CI CD integration, distributed processing frameworks, containerized applications, data Lakehouse

Google Cloud Platform, Scala, Pyspark, Json, Avro, Sql, Git, Spark, Python, Google DataFlow, Google BigQuery, PARQUET