Data Engineer

We are looking for a skilled and motivated Data Engineer to design, build, and maintain scalable data pipelines and data infrastructure. The candidate will be responsible for collecting, transforming, storing, and delivering high-quality data for analytics, reporting, and business applications.

The ideal candidate should have strong programming and SQL skills, experience with ETL/ELT pipelines, databases, cloud platforms, and modern data engineering technologies.

• Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field.
• 1–5 years of experience in Data Engineering or a related role.
• Strong proficiency in Python and SQL.
• Hands-on experience developing and maintaining ETL/ELT data pipelines.
• Good understanding of relational and NoSQL databases.
• Experience with data warehousing, data modeling, and data integration.
• Knowledge of Apache Spark/PySpark and workflow orchestration tools such as Airflow.
• Experience with at least one cloud platform such as AWS, Azure, or GCP.
• Understanding of data security, data quality, and governance practices.
• Ability to troubleshoot data pipeline failures and performance issues.
• Strong analytical, problem-solving, and communication skills.
• Experience with Databricks, Kafka, or cloud certifications is an advantage.