Posted:15 hours ago|
Platform:
Work from Office
Full Time
We are seeking a highly skilled Python Data Engineer to design, build, and maintain scalable data pipelines and analytics solutions. The ideal candidate will have strong proficiency in Python, Pandas, NumPy, and AWS, along with hands-on experience in processing large datasets and optimizing data workflows in cloud environments.
Requirements:Required Skills & Qualifications
Proficient experience in Python for data engineering and backend processing
Strong hands-on experience with Pandas and NumPy for data manipulation and analysis
Solid experience with AWS, including services such as:
S3
EC2
Lambda
Glue
Redshift / Athena
Experience building and maintaining ETL pipelines
Strong understanding of SQL and relational databases
Familiarity with data modeling concepts and best practices
Experience working with large datasets and performance optimization
Good understanding of version control systems (Git)
Job Responsibilities:
Key Responsibilities
Design, develop, and maintain data pipelines and ETL/ELT workflows using Python
Perform data transformation, cleansing, and validation using Pandas and NumPy
Build and optimize data processing jobs for large-scale datasets
Develop and deploy data solutions on AWS cloud services
Work with structured and semi-structured data from multiple sources (APIs, databases, files, streaming systems)
Collaborate with data scientists, analysts, and stakeholders to support analytics and ML initiatives
Monitor, troubleshoot, and optimize data workflows for performance and reliability
Ensure data quality, governance, and security best practices
Document data pipelines, architecture, and operational processes
What We Offer:
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