Associate Data Engineer

Job Description

• This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Associate Data Engineer in India. This role is an excellent opportunity for early-career professionals and fresh graduates who are passionate about working with data and building scalable data systems. You will join a dynamic data engineering environment where modern cloud technologies are used to design and optimize data pipelines. The position offers hands-on exposure to tools such as Snowflake, Matillion, AWS, and orchestration frameworks. You will contribute directly to the movement, transformation, and reliability of large-scale datasets that support business intelligence and analytics. Working closely with experienced engineers, you will gain practical experience in ETL/ELT development, SQL optimization, and cloud-based data platforms. The environment is fast-paced, collaborative, and focused on continuous learning and technical growth. This role is ideal for candidates eager to build a strong foundation in data engineering and grow into advanced technical roles.
• Accountabilities: Assist in designing, building, and maintaining ETL/ELT data pipelines using tools such as Matillion or equivalent platforms. Work with Snowflake to store, process, and analyze structured and semi-structured data efficiently. Write, optimize, and maintain SQL queries for large-scale datasets to support analytics and reporting needs. Perform data ingestion and transformation from multiple sources including APIs, cloud storage (S3), and databases. Monitor data workflows, troubleshoot issues, and ensure smooth execution of scheduled jobs and pipelines. Support automation and orchestration of data processes using tools such as Airflow, cron, or similar systems. Ensure high standards of data quality, consistency, and reliability across all pipelines. Collaborate with cross-functional teams to gather data requirements and deliver effective data solutions. Maintain clear and structured documentation for all data workflows and processes. Continuously learn and adapt to emerging tools, technologies, and best practices in data engineering. Requirements: Bachelor’s degree in Computer Science, Information Technology, or a related field. 0–1 years of experience, including internships, academic projects, certifications, or hands-on exposure in data engineering. Strong understanding of SQL, including joins, aggregations, and query optimization techniques. Basic knowledge of Python or other scripting languages. Understanding of ETL/ELT concepts and data warehousing principles. Familiarity with Linux/Unix environments and command-line operations. Basic knowledge of cloud platforms, especially AWS services such as S3, EC2, and Lambda. Exposure to tools such as Snowflake, Matillion, or similar data integration platforms. Understanding of orchestration and scheduling tools like Airflow or cron. Familiarity with APIs and data formats such as JSON and CSV. Knowledge of version control systems such as Git. Strong analytical thinking, attention to detail, and problem-solving abilities. Good communication skills and ability to work effectively in a collaborative team environment. Ability to quickly learn and adapt to new technologies in a fast-paced setting. Benefits: Competitive compensation package aligned with industry standards. Health and wellness benefits designed to support overall well-being. Paid time off, holidays, and supportive leave policies promoting work-life balance. Flexible and hybrid work arrangements depending on team requirements. Learning and development opportunities including training programs, mentorship, and career growth support. Exposure to modern cloud data platforms and enterprise-scale engineering environments. Inclusive, collaborative, and team-oriented work culture. Employee engagement initiatives, recognition programs, and professional development resources.
• How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1
• We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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