Associate Data Engineer

SOFTTECH

About SoftTech:

SoftTech is an innovative technology company dedicated to providing reliable software development, IT solutions, and digital services to businesses across different industries. We are passionate about delivering high-quality, scalable, and secure technology solutions that help organizations improve efficiency, productivity, and digital growth. We are now looking for an Associate Data Engineer to join our growing team and contribute to building reliable data systems, pipelines, and infrastructure that support data-driven decision-making and business growth.

Job Description:

As an Associate Data Engineer at SoftTech, you will be responsible for developing, maintaining, and supporting data pipelines, databases, and data processing systems. You will work closely with data engineers, data analysts, software engineers, product managers, and other technical teams to collect, transform, validate, and organize data from multiple sources. You will play an important role in ensuring that data is accurate, accessible, secure, and available for reporting, analytics, and business applications.

Key Responsibilities:

• Data Pipeline Development: Assist in designing, developing, testing, and maintaining reliable and scalable data pipelines for collecting and processing data from different sources.
• Data Integration: Support the integration of data from databases, APIs, applications, cloud platforms, files, and other internal and external sources.
• Data Transformation: Develop and maintain data transformation processes to clean, structure, standardize, and prepare data for analytics, reporting, and downstream applications.
• Database Management: Assist with designing, maintaining, and optimizing databases, data warehouses, and data storage systems while ensuring data consistency and availability.
• Data Quality: Monitor data pipelines and datasets for accuracy, completeness, consistency, and reliability and assist in identifying and resolving data quality issues.
• Team Collaboration: Work closely with data analysts, data engineers, software developers, product managers, and other stakeholders to understand data requirements and support business and technical projects.
• Testing & Monitoring: Perform data pipeline testing, troubleshoot processing issues, monitor data workflows, and support the resolution of technical and operational problems.
• Documentation & Improvement: Maintain technical documentation for data pipelines, databases, workflows, and processes while continuously learning and recommending improvements to SoftTech's data engineering practices.

Who Should Apply:

• Experience: 1-3 years of professional experience in data engineering, database development, ETL development, software development, or a related technology role.
• Technical Skills: Strong working knowledge of SQL and programming languages such as Python, Java, or similar technologies, with an understanding of data processing and automation concepts.
• Data Engineering Knowledge: Understanding of ETL/ELT processes, data pipelines, data warehousing, data integration, data modeling, databases, and fundamental data engineering principles.
• Database Skills: Familiarity with relational databases such as MySQL, PostgreSQL, SQL Server, or Oracle and basic knowledge of NoSQL databases is an advantage.
• Cloud & Data Platforms: Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud and data services, storage systems, or analytics platforms is an advantage.
• Problem Solving: Good analytical and troubleshooting skills with the ability to investigate data issues, identify pipeline problems, and develop practical and reliable solutions.
• Communication: Good verbal and written communication skills with the ability to work effectively with technical teams and business stakeholders.

Perks & Benefits:

• Competitive Salary: A competitive salary based on your experience, technical expertise, data engineering skills, and capabilities.
• Flexible Working Hours: Enjoy flexible and remote-friendly working arrangements that support productivity and work-life balance.
• Technical Growth: Opportunity to work on real-world data engineering projects and gain hands-on experience with data pipelines, databases, cloud platforms, data warehouses, and modern engineering tools.
• Career Growth: Potential for career advancement, professional development, and opportunities to progress into data engineer, senior data engineer, or specialized data platform roles within a rapidly growing technology company.
• Collaborative Team: Work alongside experienced data engineers, data analysts, software engineers, product managers, DevOps specialists, and technology professionals in a supportive and innovative environment.
• Work-Life Balance: Enjoy a 5-day workweek that supports a healthy balance between professional responsibilities and personal time.
• Recognition & Rewards: Your technical contributions, project achievements, and impact will be recognized, with opportunities for performance-based incentives and rewards.
• Learning & Development: Access to training, technical resources, workshops, and opportunities to enhance your data engineering skills and stay updated with the latest data technologies and industry practices.

How to Apply:

If you are a motivated data engineering professional with strong technical skills and a passion for building reliable data pipelines and systems, we’d love to hear from you! Please submit your resume, a brief cover letter highlighting your relevant data engineering experience and technical skills, and examples of data projects, pipelines, database solutions, or ETL processes you have worked on.