Data Engineer

Forward Eye Technologies; Dadri; Remote; INR 700,000 - 1,100,000; Full time

Job summary

Forward Eye Technologies seeks a Data Engineer to design and maintain scalable data pipelines, enabling seamless data integration from diverse sources for analytics.

You will apply strong SQL skills, work with relational databases, and implement ETL/ELT processes. A Bachelor's degree in Computer Science, Engineering, or a related field is required. Remote-friendly with Indian locations across multiple cities.

Qualifications

• Strong knowledge 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.

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.

Skills

Data integration

ETL/ELT

SQL

Relational databases

Education

Bachelors degree in CS/Engineering or related field

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.