snowflake , Apache Airflow, Aws Lambda, Git, Pyspark, Spark, Shell scripting, AWS Glue, Python, Sql, AWS Step Functions

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

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

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

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

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

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

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

Apache Flink, Data Modelling, Scala, PostgreSQL, Apache Spark, Schema Design, Sql, Devops, Hive, Spark Streaming, Docker, FastAPI, Python, Kubernetes, Parquet, Apache Iceberg, data security standards, data architecture principles, AI concepts and tools, cloud data platforms, Podman, ETL tools and frameworks, data pipeline orchestration

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