10 Aug
|
Hire Feed
|
India
Role: Data Engineer - Infrastructure (Remote)
Location: Remote (Work from Anywhere)
Job Type: Contract
Payout: $30 - $100/hour
Role Overview:
We are hiring for one of our clients, seeking a Data Engineer to work on a contract basis. The role involves designing, building, and maintaining scalable data pipelines and infrastructure to support data-driven decision-making. You will collaborate with cross-functional teams to ensure data reliability, quality, and accessibility for analytical and operational needs.
Key Responsibilities:
• Design, develop, and optimize data pipelines to ingest, transform, and load data from various sources into target systems.
• Implement and maintain ETL/ELT processes to support data warehousing and analytics initiatives.
• Ensure data integrity, consistency, and security across all data assets and systems.
• Monitor pipeline performance, troubleshoot issues, and implement improvements to enhance efficiency and reliability.
• Collaborate with data scientists, analysts,
and other stakeholders to understand requirements and deliver high-quality data solutions.
Required Skills & Qualifications:
• Experience with SQL, Python, or Scala for data engineering tasks.
• Proficiency in data pipeline tools such as Apache Airflow, Spark, or similar frameworks.
• Knowledge of cloud platforms (AWS, GCP, Azure) and their data services.
• Familiarity with data modeling, warehousing concepts, and schema design.
• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
More About the Opportunity:
This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | Data Infrastructure and Analytics industry, contributing to the modernization of data infrastructure and enabling advanced analytics capabilities. The position allows for remote work with flexible hours, providing a balance between skilled growth and personal flexibility.
Equal Opportun
📌 Data Engineer (India)
🏢 Hire Feed
📍 India