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Cognizant
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Architect

Architect

Cognizant

5 - 10 years

35 - 50 Lacs

pune

Posted:1 day ago| Platform:

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Skills Required

data trend data warehousing ci/cd data architecture sql cloud scripting git automation data modeling gcp shell scripting telecom bigquery api etl data lake architecture cloud sql risk management python workflow data security monitoring framework transfer terraform sql database

Work Mode

Work from Office

Job Type

Full Time

Job Description

AIA-Pune ,Chennai

Job Summary

Designer Ingestion Strong understanding of ETLELT frameworks data lakes and data warehousing

Proficiency in SQL Python and Shell scripting

Experience with GCP ingestion tools

Familiarity with Terraform Git and CICD pipelines

Responsibilities

Design and implement scalable data solutions using BigQuery API and BigQuery BI to enhance data processing capabilities.
Collaborate with cross-functional teams to integrate BigQuery Data Transfer Service for seamless data movement.
Develop and maintain robust risk management frameworks to ensure data security and compliance.
Utilize BigQuery ML to create predictive models that drive business insights and decision-making.
Write efficient Python scripts to automate data workflows and improve operational efficiency.
Manage and optimize Cloud SQL databases to support high-performance data applications.
Conduct thorough analysis of data requirements and provide strategic recommendations for data architecture improvements.
Lead the development of data pipelines and ETL processes to ensure data accuracy and availability.
Work closely with stakeholders to understand business needs and translate them into technical solutions.
Monitor and troubleshoot data systems to ensure optimal performance and reliability.
Stay updated with the latest industry trends and technologies to drive innovation within the team.
Provide technical guidance and mentorship to junior team members to foster a collaborative work environment.
Contribute to the companys purpose by delivering impactful data solutions that enhance decision-making and drive growth.

Qualifications

Possess strong expertise in BigQuery API BigQuery BI and BigQuery Data Transfer Service.
Demonstrate proficiency in risk management and data security practices.
Have experience with BigQuery ML and Python for data modeling and automation.
Show capability in managing Cloud SQL databases effectively.
Experience in the Telecom domain is a plus.
Exhibit excellent problem-solving skills and attention to detail.
Ability to work in a hybrid work model with a focus on collaboration and communication.

Certifications Required

Google Professional Data Engineer Certification Certified BigQuery Developer

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