Overview

Benda Infotech is a leading technology company dedicated to delivering innovative, data-driven solutions to complex business challenges. We are looking for a talented Data Engineer to design, develop, and optimize our data infrastructure — empowering smarter decisions and driving business growth through reliable, scalable, and secure data systems.

Job Description

As a Data Engineer at Benda Infotech, you will be responsible for building and maintaining robust data pipelines, integrating multiple data sources, and ensuring data availability, accuracy, and integrity. You’ll collaborate with cross-functional teams — including data analysts, BI developers, and software engineers — to enhance data accessibility and support data-driven decision-making.

Key Responsibilities

• Data Pipeline Development: Design, build, and maintain scalable ETL/ELT pipelines to collect, transform, and load data from diverse internal and external sources.
• Database Management: Develop and optimize relational and non-relational databases for high performance, scalability, and reliability.
• Data Integration: Work with APIs, cloud storage, and third-party tools to seamlessly integrate data across platforms.
• Data Quality & Validation: Ensure data integrity, consistency, and accuracy through robust monitoring, validation, and cleansing processes.
• Collaboration: Partner with analysts, BI teams, and business stakeholders to ensure data is accessible, reliable, and ready for reporting and analytics.
• Automation & Optimization: Automate workflows, optimize data processing, and implement best practices for performance improvement.
• Documentation: Maintain detailed documentation for data models, systems, and processes.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
• 2+ years of experience in data engineering, ETL development, or data architecture.
• Strong proficiency in SQL and experience with relational databases (MySQL, PostgreSQL, etc.).
• Hands-on experience with Python, Spark, or ETL tools (Airflow, SSIS, Talend, etc.).
• Experience with cloud platforms (AWS, Azure, GCP) and data warehousing tools (Redshift, BigQuery, Snowflake).
• Familiarity with data visualization tools (Power BI, Tableau) is a plus.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently in a fast-paced, collaborative environment.

Why Join Us?

• Be part of a collaborative, forward-thinking team that values innovation and data excellence.
• Work with cutting-edge technologies in modern cloud data engineering.
• Competitive compensation and benefits package.
• Opportunities for continuous learning, professional growth, and career advancement.