Job Description
Team: IT
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.
- 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.
- 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.
Requirements:
Benefits:
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Date Posted
05/21/2026
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