Entry level Data Engineer

Job Summary We are looking for a motivated and detail-oriented Entry-Level Data Engineer to join our team. The ideal candidate will assist in building, maintaining, and optimizing data pipelines, supporting ETL/ELT processes, and ensuring data quality across various systems. This role is suitable for recent graduates and aspiring data professionals who have a strong foundation in SQL, Python, databases, and data processing concepts.

Key Responsibilities

Assist in developing and maintaining data pipelines for collecting, transforming, and loading structured and unstructured data. Write and optimize SQL queries for data extraction, transformation, validation, and reporting. Support ETL/ELT workflows and data integration processes from multiple sources. Use Python for data processing, automation, and basic scripting tasks. Work with relational databases such as MySQL, PostgreSQL, or SQL Server. Assist in implementing data quality checks, troubleshooting pipeline issues, and documenting data workflows. Required Skills Basic to intermediate knowledge of SQL, including joins, subqueries, aggregations, and data manipulation. Familiarity with Python and libraries such as Pandas. Understanding of database concepts, data modeling, and relational databases. Basic understanding of ETL/ELT processes, data warehousing, and data pipeline architecture. Familiarity with Git, version control, and basic Linux commands is an advantage. Strong analytical thinking, problem-solving, communication, and teamwork skills.

Preferred Qualifications

Bachelor’s degree in Computer Science, Information Technology, Data Science, Engineering, or a related field. Academic projects, internships, or hands-on experience involving SQL, Python, databases, or data pipelines. Basic exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform. Familiarity with tools such as Apache Airflow, Spark, Snowflake, Databricks, or cloud-based data services is a plus.