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GCP Developer
3 weeks ago
JOB DESCRIPTION:
Must Have:
- Min 3 years' Experience with Building Pipelines using GCP-Big-Query
- Min 2-3 Experience in working on Large Scale Data warehouses like Teradata
- Experience building and optimizing data warehousing data pipelines (ELT and ETL), architectures and data sets.
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Basic Knowledge of Airflow/Google Cloud Composer or any other Job Orchestration tool
- GCP Data Engineer certification is mandatory
- Experience with CICD pipeline and workflow management tools: GitHub Enterprise, Cloud Build etc.
- Performance tuning on BigQuery/Any large scale Warehouses
- Basic Experience with object-oriented/object function scripting languages: Python/Java
Good To Have:
- Experience with GCP cloud services: Kubernetes, Cloud Function, Cloud Composer, PubSub etc.
- Data modelling- dimension/snowflake
- Experience with data pipeline and workflow management tools: Data Build Tool (DBT) or any other ETL/ELT tool, data flow , BigData
- Basic Knowledge on shell scripting etc.
- Experience with Data Analytics and Visualization Tools: Tableau BI Tool (OnPrem and SaaS), Data Analytics Workbench (DAW), Visual Data Studio - Build and maintain data pipelines(ELT and ETL), for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and GCP data warehousing technologies.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- Strong project management and organizational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.
Skills:
- Working SQL knowledge and experience working with relational databases, query authoring (SQL),
- GCP data engineer certification,
- Experience with GCP cloud services: kubernetes, cloud function, cloud composer, pubsub,
- Data pipeline and workflow management tools: Data build tool (dbt) or any other etl/elt tool, data flow, bigdata,data modelling - dimension/snowflake,
- Knowledge of airflow/google cloud composer or any other job orchestration tool, bigquery,
- Building pipelines using GCP-big-query,
- Working familiarity with a variety of databases,
- Working on large scale data warehouses like teradata,
- Building and optimizing data warehousing data pipelines (elt and etl), architectures and data sets,
- Knowledge on shell scripting
- Experience with data analytics and visualization tools: tableau bi tool (onprem and saas), data analytics workbench (daw), visual data studio,object-oriented/object function
- Scripting languages: python/java,
- Performance tuning on bigquery/any large scale warehouses
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