GCP Developer

3 weeks ago


hyderabad, India Nilasu consulting Full time

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

(ref:hirist.tech)

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