Data Engineer

2 weeks ago

Noida, Uttar Pradesh, India Source-Right Full time ₹ 5,00,000 - ₹ 12,00,000 per year

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.

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