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12 Weeks ago

Data Engineer (7+)

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Pune, Maharashtra, India
Information Technology
Full-Time
Quest Global

Overview

Job Requirements

Role and Responsibility Brief

  • Analyze business requirements and create data visualizations using Power BI.
  • Design and develop reports, dashboards, and scorecards to meet business needs.
  • Create data models using Power BI's data modeling capabilities (DAX, M).
  • Develop and maintain KPIs, metrics, and benchmarks.
  • Develop and maintain Power BI reports, dashboards, and data models.
  • Implement data governance and security best practices.
  • Optimize report performance and data refresh times.
  • Leads a project team of other data engineers to design, build, and maintain scalable data pipelines using AWS services for structured/unstructured data.
  • Implement data quality checks, data validation, and data cleansing processes.
  • Ensure data security, compliance, and governance.
  • Writes and executes complete testing plans, protocols, and documentation for assigned portion of data system or component; identifies and debugs, and creates solutions for issues with code and integration into data system architecture.
  • Collaborates and communicates with project team regarding project progress and issue resolution.
  • Provides guidance and mentoring to less experienced staff members.

Work Experience

Must Have Skill

  • Power BI experience is a must.
  • Strong experience in programming languages and latest technologies such as Python, Spark, Scala.
  • AWS cloud knowledge is must, candidate should have hands on experience on Kinesis, SQS, SNS, S3, Athena, EMR, Elastic Search, Quicksight, Redshift, Cloudwatch etc.
  • Strong decision-making skills in terms of data analysis.
  • Agile and scrum methodologies is a must to know.
  • Engage with product manager to understand strategic requirements.
  • Responsible for translating business requirements into technology.
  • Experience with Power BI (Desktop and Service).
  • Strong understanding of data modeling (DAX, M).
  • Strong data engineering skills (data pipelines, data warehouses, data lakes).
  • Experience with scripting languages (Python, Scala, PowerShell).
  • Fluent in complex, distributed and massively parallel systems.
  • Strong understanding of database technologies and management systems.
  • Strong understanding of cloud-based systems/services.
  • Strong analytical and problem-solving skills with ability to represent complex algorithms in software.
  • Designing data systems/solutions to manage complex data.
  • Fluent in NoSQL & relational based systems.
  • Excellent written and verbal communication skills.
  • Ability to work in a team environment.
  • Strong time management and prioritization skills.

Nice to Have Skill

  • Good to have PowerBI Developer / AWS certification.
  • Good to have Data Science, AI/Machine learning - pattern recognition, text mining, NLP, clustering for big data knowledge.
  • .
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