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Embark GCC

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T&T | EAID | Engineering | MDM Data engineer | Senior Consultant/Manag

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Summary

Senior MDM Data Engineer at Embark GCC in Gurgaon who builds data pipelines and orchestrations in Airflow, develops data models and transformations in DBT, and optimizes SQL/BigQuery workloads to support Master Data Management, collaborating with global technical and non-technical teams.

Your work profile

We're looking for MDM Data Engineer with strong understanding of Master Data Management (MDM) concepts and principles that can build data pipeline orchestrations and workflows in Airflow. Shoule be able to develop models, build data products, and perform transformations using DBTPerformance optimizations across data pipelines, SQL, and BigQuery, High quality documentation, ability to operate independently, and collaborate with cross-functional technical and non-technical teams globally, produce consistent high quality code accelerated by Al Core Technical Requirements

Key Required skills

  • Proficient in Python, and DBT (DBT Fusion is highly preferred over DBT Core)
    Build, deploy, and maintain Airflow DAGs for ingestion, data processing, and orchestration
    Strong hands-on SQL capability in crafting efficient, performant, and cost-effective queries
    Extensive experience working in GCP BigQuery
    Strong data modelling expertise
    Strong background on data governance
    CI/CD experience e.g. GitHub, Bitbucket, GitHub Actions, Bamboo, ArgoCD
    Strong understanding of Secure by design principles
    Experience working in AWS Cloud
    Experience with AWS Redshift, Snowflake


Requirements

Success MetricsMetrics
Flexibility of working hours where needed
Experience working within Agile delivery framework
Use of JIRA and Confluence for task management and documentation
Relevant working experience in Financial Services e.g. Banking and Financial Services, Fund Management, Investment Management
Strong understanding of Master Data Management principles
Experience working in an MDM Platform
5 to 10 years of experience as a Data Engineer
Strong problem-solving and communication skills
Strong Risk Management mindset
Strong understanding of Change, Incident, and Problem Management
Ability to collaborate with both technical and non-technical stakeholders globally
Ability to delivery quality output independently with minimal oversight

Qualifications

Education - B. tech or BE



Skills

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See also

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