Hadoop Ecosystem, Scala, Emr, HBase, Yarn, Mapreduce, Hortonworks, Sql, Spark Streaming, Hive, Spark, Cloudera, Oozie, Python, AWS, HDFS

· 3–5 years of experience working with GCP, ReactJS and Python. · Strong SQL and data modelling experience on BigQuery or an equivalent cloud data warehouse. · Experience building ETL/ELT pipelines using GCP-native tools (Dataflow, or similar). · Python backend development (FastAPI or similar) and REST API design. · Experience with core GCP services: BigQuery, Secret Manager., Iam, Cloud Composer, Cloud Functions, Cloud Run

Pyspark, Github, Ecc, Kafka, Sql, Sap Bw, Azure Cloud, Sap Hana, Bw, SAP Data Intelligence, Databricks, Python, Azure Devops, AWS, Airflow, Event hub, Data Bricks, Data ingestion pipeline design, dbt, SAP S4

snowflake , Java, Hadoop, Scala, Kafka, Redshift, Sql, Hive, Kinesis, Spark, Python, dbt, MetricFlow

Java, Apache Flink, Scala, Sql, Apache Airflow, Docker, Apache Kafka, Rest Apis, Kubernetes, Python, Terraform, Json, Avro, Apache Nifi, cdc, ClickHouse, Debezium, CI CD, Dagster, Cloud platforms, Protobuf, Data observability and monitoring tools, Kafka Schema Registry, Prefect

snowflake , Apache Airflow, Pyspark, Azure cloud services, Sql, Python, Etl, Spark SQL, T-sql, Rest Apis, CI CD automation, ELT frameworks, Delta Lake, Unity Catalog, Databricks notebooks, DevOps workflows, Databricks Lakehouse platform, Delta Live Tables, Databricks Workflows

Azure Data Lake Storage Gen2 (ADLS Gen2), Azure Data Factory (ADF), T-sql, Data Modeling, Pyspark, Data Warehouse, Sql, Git, Python, Azure DevOps, Claude Code, Claude, GitHub Copilot, Stored Procedures, Lakehouse, Microsoft Fabric, Fabric Notebooks

Spark SQL, Scipy, Pyspark, Azure Databricks, Numpy, Pandas, Azure Data Lake, Python, RDDs, Databricks Notebooks, MLflow, DataFrames, Synapse Analytics, Delta Lake, Blob Storage, Spark Pools

file formats , Logging, Pyspark, Data Modeling, Redshift, Sql, Git, Data Quality, Spark, Python, AWS, Apache Iceberg, DBT Cloud, Monitoring, alerting, Lakehouse Data Lake architectures, partitioning, observability