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Sourceright Technologies
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Data Engineer (AWS QuickSight, Glue, PySpark)

Data Engineer (AWS QuickSight, Glue, PySpark)

Sourceright Technologies

4 - 6 years

4 - 8 Lacs

Noida

Posted:2 weeks ago| Platform:

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Skills Required

Computer science Automation HVAC Data modeling Agile Data processing Data quality Business intelligence Analytics SQL

Work Mode

Work from Office

Job Type

Full Time

Job Description

Position: Data Engineer (AWS QuickSight, Glue, PySpark) (Noida) (CE46SF RM 3386)

Education Required: Bachelor s / Masters / PhD:

Bachelor s or master s in computer science, Statistics, Mathematics, Data Science, Engineering
AWS certification (e.g., AWS Certified Data Analytics Specialty, AWS Certified Developer)

Must have skills:

Proficiency in AWS cloud services: AWS Glue, QuickSight, S3, Lambda, Athena, Redshift, EMR, and related technologies
Strong experience with PySpark
Expertise in SQL and data modeling for relational and non-relational databases
Familiarity with business intelligence and visualization tools, especially Amazon QuickSight

Good to have:

Proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch).
Understanding of MLOps and model deployment best practices.
Hands-on experience with AWS services for ML.
Experience or familiarity with HVAC domain is a plus

Key Responsibilities:

Design, develop, and maintain data pipelines using AWS Glue, PySpark, and related AWS services to extract, transform, and load (ETL) data from diverse sources
Build and optimize data warehouse/data lake infrastructure on AWS, ensuring efficient data storage, processing, and retrieval
Develop and manage ETL processes to source data from various systems, including databases, APIs, and file storage, and create unified data models for analytics and reporting
Implement and maintain business intelligence dashboards using Amazon QuickSight, enabling stakeholders to derive actionable insights
Collaborate with cross-functional teams (business analysts, data scientists, product managers) to understand requirements and deliver scalable data solutions
Ensure data quality, integrity, and security throughout the data lifecycle, implementing best practices for governance and compliance5.
Support self-service analytics by empowering internal users to access and analyze data through QuickSight and other reporting tools1.
Troubleshoot and resolve data pipeline issues, optimizing performance and reliability as needed

Required Skills:

Proficiency in AWS cloud services: AWS Glue, QuickSight, S3, Lambda, Athena, Redshift, EMR, and related technologies
Strong experience with PySpark for large-scale data processing and transformation
Expertise in SQL and data modeling for relational and non-relational databases
Experience building and optimizing ETL pipelines and data integration workflows
Familiarity with business intelligence and visualization tools, especially Amazon QuickSight
Knowledge of data governance, security, and compliance best practices.
Strong programming skills in Python; experience with automation and scripting
Ability to work collaboratively in agile environments and manage multiple priorities effectively
Excellent problem-solving and communication skills.

Job Category:

Digital_Cloud_Web Technologies

Job Type:

Full Time

Job Location:

Noida

Experience:

4-6 years

Notice period:

0-15 days

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