Pyspark, Sql, databricks, Data Engineer

Hadoop, Pyspark, Spark, Data Warehousing Concepts, UNIX, Python, Sql

Java, Spring Boot, Sql, Linux systems, command line operations, Big Data operations

Unix, Data Manipulation Language, Tableau, Json, Python, AWS, Java, Power Bi, Csv, Scala, Apache Spark, Automation, Sql, Git, Linux, Xml, Databricks, Azure, Agent Orchestration, Data storage subsystems, MS Fabric, Normalized dimensional data modelling, Event-Driven Workflows, ETL workflows

Devops, Pyspark, Databricks, Azure, Python, Sql, AWS, Infrastructure as Code, DataOps, SRE, CI CD

data warehouses , Java, Cloud Services, Golang, Scala, Data Modeling, Sql, ELT, Apache Airflow, Linux Shell Scripting, Python, Etl, datamarts, NoSQL systems, streaming event-based data pipelines, data management technologies, real-time data processing

Java, Data Cleaning, Power Bi, Scala, Tableau, Data Warehouse, Sql, ELT, Data Lake, Data Governance, Python, Etl, Looker

Node.js, Cube, Python, knowledge engineering, Analytical modeling on OLAP warehouse systems, Semantic or metrics-layer experience, dbt, MetricFlow, Strong SQL, Open-source semantic layer engines, API service mindset, LookML

snowflake , Java, Google Cloud Platform, Power Bi, Scala, Apache Spark, Tableau, Json, Avro, Sql, ELT, Apache Airflow, Business Intelligence Tools, Databricks, Azure, Python, Etl, AWS, Parquet, Looker, dbt

data engineering , Java, Data Modelling, Cloud Architecture, Scala, Devops, Typescript, Software Engineering, Gcp, Javascript, Agile, Sql Tuning, Scrum, Azure, Python, AWS, CI CD Pipelines, ETL ELT Workflows, Relational Databases, Dimensional Kimball Star Schema, ETL Architecture, Kanban