GCP-Big-Query

Greetings From Maneva!

Job Description

Job Title GCPBigQuery

Location Bangalore

Experience 7 15 Years

Job Requirements:

7 years total experience with Min 3 years Experience with Building Pipelines using GCPBigQuery.

Min 23 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 Big Query/Any large scale Warehouses.

Basic Experience with objectoriented/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 Big Data

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 etc.

Responsibilities

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 redesigning 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 datarelated 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 crossfunctional teams in a dynamic environment.

If you are excited to grab this opportunity please apply directly or share your CV at and