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Python Expert with AWS Data Engineering @ Digyug HR

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 Python Expert with AWS Data Engineering

Job Description

    We are seeking a Python Data Engineering expert with 8+ years of overall experience in Data Engineering and at least 5+ years of hands-on expertise in Python development. The ideal candidate should have strong proficiency in Python, RDBMS, and a solid understanding of AWS services. Key Responsibilities: Python Expertise: Leverage 5+ years of hands-on experience with Python for developing scalable, high-performance data engineering solutions. RDBMS to NoSQL Conversion: Lead the effort in migrating large data sets from RDBMS to NoSQL databases, ensuring seamless and efficient data storage and retrieval. Data Lake & Delta Tables: Design and build data lakes and manage configurations on Delta tables to optimize data processing and storage workflows. Cost Optimization: Implement computing strategies that minimize costs while maximizing data processing efficiency within cloud environments like AWS. Holistic Framework Development: Analyze current environments and use cases to develop holistic data engineering frameworks that address both short-term and long-term business needs. Airflow Framework: Utilize Apache Airflow to manage, schedule, and monitor workflows, ensuring data pipelines are running efficiently. AWS Service Integration: Work extensively with AWS services such as EMR, S3, Lambda, Step Functions, and Aurora (RDS) to build, manage, and optimize data solutions on the cloud. Required Skills: 8+ Years of Data Engineering Experience: A strong background in Data Engineering, with 5+ years of Python development experience. RDBMS Expertise: Proficiency in RDBMS and SQL for managing large-scale relational databases. NoSQL: Familiarity with converting data from RDBMS to NoSQL databases to enable flexible, scalable data storage solutions. Data Lakes & Delta Tables: Experience in building data lakes and working with Delta table configurations for optimized data storage and processing. AWS Services: Hands-on experience with AWS technologies such as EMR, S3, Lambda, Step Functions, and Aurora (RDS) for cloud-based data solutions. Apache Airflow: Strong understanding of Apache Airflow to automate, schedule, and manage data workflows. Soft Skills: Team Collaboration: Demonstrated ability to work as part of a team, with a positive attitude and commitment to collaborative problem-solving.,

Employement Category:

Employement Type: Full time
Industry: IT Services & Consulting
Role Category: IT Operations / EDP / MIS
Functional Area: Not Specified
Role/Responsibilies: Python Expert with AWS Data Engineering

Contact Details:

Company: Contus
Location(s): Chennai

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Keyskills:   Python RDBMS NoSQL Data Lakes

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Digyug HR

Digyug is one of the leading marketing agencies based out of mumbai