Posted:1 day ago| Platform: Linkedin logo

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Skills Required

data processing architecture storage integrity integration support analytics reporting marketing scalability design query latency governance compliance regulations controls automation drive efficiency personalization segmentation maintenance metrics leadership engineering etl tableau power sql aws redshift security

Work Mode

On-site

Job Type

Full Time

Job Description

Key Responsibilities:

End-to-End Data Ownership: Manage and oversee the complete lifecycle of data collection, processing, and availability from internal and external sources to enable seamless consumption by business teams.


·      Data Asset Management:

Data Quality & Integrity:

Data Integration & Centralization:

Real-time & Historical Data Management:

Advanced Analytics & Reporting:

Scalability & Performance Optimization:


Data Governance & Compliance:

Automation of Data Workflows:

Support Personalization & Targeting:

KPI & Performance Dashboards:


Qualifications:


·      Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

·      6+ years of experience in data operations, data engineering, or related roles with a proven track record of managing end-to-end data processes.

·      Strong expertise in data warehousing, ETL/ELT pipelines, and BI tools (e.g., Tableau, Power BI, Looker).

·      Hands-on experience with SQL, data modelling, and query optimization.

·      Familiarity with cloud data platforms (e.g., AWS Redshift, Google BigQuery, Snowflake) and data integration tools.

·      Solid understanding of data governance, privacy regulations, and security best practices.

·      Experience working cross-functionally with architecture, analytics, and business teams.

·      Excellent problem-solving skills, attention to detail, and the ability to manage multiple priorities.

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Populace World Solutions

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