We are looking for an enthusiastic and curious Fresher Data Engineer to join our growing data team. In this entry-level role, you will learn the ropes of building, maintaining, and monitoring data pipelines that fuel our company’s analytics and business intelligence.
If you have a strong foundational knowledge of programming and databases, a passion for working with data, and a desire to learn modern cloud and big data technologies, this is the perfect launchpad for your career. You will work under the direct mentorship of senior engineers who are committed to helping you grow.
Key Responsibilities
- Pipeline Maintenance: Assist in monitoring daily batch and real-time data pipelines, ensuring data flows smoothly from source systems to our data warehouse.
- Data Quality Checks: Write scripts and queries to validate data integrity, identify missing or corrupted data, and assist in basic data cleansing.
- SQL & ETL Development: Learn and apply basic ETL/ELT (Extract, Transform, Load) concepts to move and transform data under the guidance of senior team members.
- Troubleshooting: Help investigate and resolve minor data bugs, system alerts, and pipeline failures.
- Documentation: Document data schemas, pipeline logic, and system workflows to maintain a clean internal knowledge base.
Required Qualifications & Skills
- Education: Bachelor’s degree in Computer Science, Information Technology, Data Science, Mathematics, or a related quantitative field (Recent graduates or final-year students welcome).
- Core Programming: Solid foundational knowledge of Python (or Java/Scala) and fundamental programming concepts.
- Database Fundamentals: Strong understanding of SQL, including writing basic queries, joins, aggregations, and understanding relational database design (RDBMS).
- Problem Solving: Logical thinking and a strong analytical mindset to troubleshoot technical problems.
- Eagerness to Learn: A proactive attitude toward learning new tools like cloud platforms (AWS/GCP/Azure), Apache Airflow, dbt, or Spark.
Preferred Qualifications
- Completion of a relevant internship, boot camp, or personal/academic projects involving data (e.g., web scraping, building a basic database, dashboard creation).
- Basic familiarity with Git/Version Control.
- Familiarity with Cloud fundamentals (AWS, Azure, or Google Cloud).
