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based on 161 Reviews

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5 Quest Global Technologies Data Engineer Jobs

Data Engineer

Quest Global Technologies

based on 161 Reviews

1-8 years

Pune

1 vacancy

Data Engineer

Quest Global Technologies

posted 5d ago

Flexible timing

Key skills for the job

+ 4 more

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 BIs 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.
.

Employment Type: Full Time, Permanent

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