Github, Google Cloud Platform, Pyspark, Data Warehousing, Sql, Microservices, Devops, Data Governance, Microsoft Azure, Databricks, Python, AWS, automated web services, AI technologies, ETL processes, Data Validation

Apache Spark, Kafka, Apache Airflow, Pandas, Elasticsearch, MongoDB, pgvector, Polars, Vector databases, Qdrant, NoSQL databases, Data models and storage architectures, Distributed data systems, Data processing performance and optimisation, Data pipelines, Milvus

Pl Sql, Microsoft Azure, Azure Databricks, Python, Sql, AI ML tools

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

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

S3, BigQuery, Scala, AWS Glue, Kafka, Json, Sql, ELT, Apache Airflow, Rest Api, Lambda, Azure Data Factory, Spark Streaming, Python, Etl, GCP Dataflow, incremental loads, CDC patterns, ADLS, dbt, full reloads

Power Bi, Databricks, Sql, Python, Apache Spark, Delta Lake, Azure-based cloud data environments, Atlan, SoDA

Data Modelling, Hive, Gcp, Terraform, Spark, Sql, dbt, ETL ELT, CI CD, Beam