Data Engineer

Forward Eye Technologies; Pune District; Remote; INR 1,200,000 - 2,500,000; Full time

Job summary

Forward Eye Technologies in Pune, India is seeking a data engineer to design, build, and maintain scalable data pipelines and ETL/ELT processes. You will work with data scientists and analysts to understand data requirements and deliver robust data solutions.

The role emphasizes SQL proficiency, relational databases, and hands-on experience with cloud data infrastructure (AWS/Azure/GCP). You will also document systems and adopt best practices for data quality and security.

Qualifications

• Bachelor's degree in CS, Engineering, or related field.
• Strong knowledge of data pipelines and ETL/ELT concepts.
• Solid SQL and relational database skills.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
• Collaborate with data scientists and analysts to understand data requirements.
• Optimize existing data systems for performance, reliability, and scalability.
• Implement data quality and validation to ensure data integrity.
• Manage data environments, including data lakes and warehouses, for availability and security.
• Work with cloud services (AWS, Azure, Google Cloud) to build data infrastructure.
• Develop and maintain documentation for data systems and protocols.
• Stay updated with latest data engineering trends and apply them when needed.

Skills

Data integration concepts

ETL/ELT processes

Stakeholder collaboration

Education

Bachelor's degree in Computer Science, Engineering, or a related field

Tools

SQL

Relational databases

Job description

Strong understanding of data integration concepts and ETL/ELT processes.Solid understanding of SQL and relational databases. Bachelor's degree in Computer Science, Engineering, or a related field.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes to support data integration from various sources.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet their needs.
• Optimize and improve existing data systems for performance, reliability, and scalability.
• Implement data quality and validation processes to ensure data integrity and accuracy.
• Manage and monitor data environments, including data lakes and warehouses, ensuring data availability and security.
• Work with cloud services (e.g., AWS, Azure, Google Cloud) to build and maintain data infrastructure.
• Develop and maintain documentation for data systems, processes, and protocols.
• Stay updated with the latest trends and technologies in data engineering and apply them as necessary.

Location -

Remote, Hyderabad,Ahmedabad,pune,chennai,kolkata.