ETL Data Engineer – AWS & Python Specialist

🌟 We're Hiring : ETL Data Engineer – AWS & Python Specialist! 🌟

We are seeking an experienced ETL Data Engineer to design, develop, and maintain robust data pipelines using AWS cloud services and Python. The ideal candidate will have expertise in extracting, transforming, and loading large datasets while ensuring data quality, performance, and scalability across our data infrastructure.

About The Role :

We are looking for a detail-oriented and proactive ETL Data Engineer with strong experience in data integration, transformation, and pipeline development. The ideal candidate should be proficient in AWS, Python, and SQL, with hands-on experience working with diverse data sources and formats. A solid understanding of both RDBMS and NoSQL databases, along with familiarity in API development and data ingestion, is essential. Candidates who stay current with emerging technologies and thrive in Agile environments will be a great fit for our dynamic and fast-paced team.

Position Requirements :

Candidate must possess at least a Bachelor’s Degree / College, Computer Science / IT

At least 5 years+ of working experience in the related field (Python, ETL).

Hands-on experience with the AWS Suite for cloud-based data and analytics solutions.

Skilled in ingesting data from various sources including APIs, logs, flat files, and databases.

Experienced in API client-server development (REST), with a focus on API authentication and data ingestion.

Proficient in administering both RDBMS and NoSQL databases within a unified data and analytics environment.

Capable of converting, processing, and transforming various file formats (e.g., CSV, JSON, Parquet, XML) using data tools.

Comfortable using Python to address data and analytics requirements.

Experienced in deploying and maintaining scripts using Git repositories.

Keeps up to date with emerging technologies in the data and analytics space.

Adept at working within SCRUM / Agile methodologies and environments.

Open to working remotely and available for mid-shift or rotating schedules.

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