Data Engineering
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About this service
Summary
Designing, building, and maintaining data pipelines and data warehouses for businesses to ensure efficient and effective data storage, retrieval, and analysis.
What's included
Build Data Warehouses
Sourcing multiple data into on-premise or cloud based data warehouse
Build Data Marts
Develop ETL and DataMarts for various business teams - Finance, HR, Product, Marketing, Sales
ETL Developer
Develop ETL with Complex SQL Queries, big data SQL - Hive, Presto, Spark
Cloud Data pipelines
Airflow, DBT
AWS Data Engineering
Amazon Redshift, AWS Glue, Amazon S3, AWS Lambda, AWS Step Functions
Skills and tools
Data Modelling Analyst
Data Engineer
Database Specialist
Apache Airflow
AWS
Azure
dbt
Snowflake
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