snowflake , Pyspark, Scala, Redshift, Sql, Gcp, Spark, Databricks, Azure, Python, AWS, Etl

snowflake , Devops, Git, Python, Sql, dbt, CI CD

Java, Metadata Management, Scala, Sql, Apache Airflow, Kinesis, Gcp, MLops, Spark, Apache Kafka, Data Governance, Azure, Python, AWS, data quality frameworks, Flink, Prefect, dbt

Pyspark, Scala, Apache Spark, Kafka, Oracle Goldengate, Jenkins, Terraform, Python, Airflow, Google BigQuery, Cloud Composer, GitHub Actions

Github, Data Factory, Power Bi, Pyspark, Data Warehouse, Sql, ELT, Python, Azure DevOps, Etl, Data Governance, OneLake, Real-Time Intelligence, Lakehouse, Microsoft Fabric, Spark optimization

data engineering , Database technologies (Snowflake preferred), Python, Etl, Data Stage, ELT frameworks, Data pipelines, ETL development using PowerCenter, AI/ML concepts and implementations, AWS preferred or any other ETL tool

Sql, ETL ELT fundamentals and best practices, CI CD pipelines for data deployments, Snowflake data warehousing including Time Travel and Fail Safe features, AWS services such as S3 Lambda Secret Manager IAM and CloudWatch, Configuration of monitoring alerting and data quality checks in cloud data platforms, Administration of Snowflake warehouses databases schemas and role-based security, dbt models macros and tests, Python for data engineering and automation

Git, Gcp, Scala, Apache Spark, Apache Kafka, Databricks, Python, Spark Structured Streaming, Cloud SQL

snowflake , Data Lineage, Pyspark, Apache Spark, Sql, ELT, Data Quality, Goldengate, Data Lake, Databricks, Data Governance, Python, AWS, Etl, AWS DMS, Data Pipelines, Lakehouse, Observability

Python, Apache Flink, Scala, Cosmos, Sql, Devops, Apache Kafka, Databricks, MongoDB, Azure, Data integration tools, ETL processes, DataOps, Data security patterns