Data integration and ETL concepts, Databricks Unified Data Analytics Platform, Cloud-based data storage and processing solutions, Building and managing scalable data pipelines

Apis, Pyspark, Version Control, Data Integration, Sql, ELT, Databricks, Microsoft Azure, Python, Etl, Data Quality Checks, ActiveBatch

data engineering , Automation, Data Integration, Sql, ELT, Data Quality, Data Warehousing, Data Governance, Etl, Data Transformation, Problem-solving skills, Continuous Improvement, Cloud-based Data Platforms, Troubleshooting, Collaboration, Stakeholder Management, Production Support

snowflake , Gcp, Azure, Python, Sql, AWS, Data lake architectures

Ranger, Yarn, Impala, Hive, Gcp, Terraform, Ansible, Kerberos, Spark, Oozie, Databricks, Tls, Azure, AWS, Infrastructure as Code, ATLAS, Chef, HDFS, Delta Lake, Cloudera CDP

Sql, Kafka, Rest Apis, BigQuery, Dataproc, Python, Gcp, Git, Spark, Dataplex, Cloud Composer, Pub Sub, Data Catalog, CI CD

data engineering , S3, Data Modeling, AWS Glue, Emr, Redshift, Sql, Data Integration, Lambda, Kinesis, Spark, Data Warehousing, Data Governance, Python, Etl, AWS, Data Lakes, FireHose, R, IAM roles and permissions

Azure Data Factory, Scala, SQL Server, Apache Spark, Azure Databricks, Python, Sql, Azure SQL Database