Jobs → Data & Analytics → Data Engineer

About the Role We are looking for a motivated Data Engineer to join our team and help transform raw data into reliable, high-quality data solutions that drive business decisions. Key Responsibilities • Design, develop, and maintain scalable data pipelines and ETL/ELT workflows • Collect, process, clean, and transform large datasets from multiple sources • Build and optimize data warehouses, data lakes, and databases • Work with SQL and Python to process and analyze data efficiently • Develop batch and real-time data processing solutions • Implement data quality checks, validation, and monitoring processes • Collaborate with data scientists, analysts, and software engineers • Optimize data pipeline performance, reliability, and scalability • Work with cloud-based data engineering services and modern data platforms Requirements • Strong knowledge of SQL and Python • Understanding of ETL/ELT processes and data pipeline development • Familiarity with databases such as MySQL, PostgreSQL, or SQL Server • Knowledge of data warehousing and data modeling concepts • Familiarity with Apache Spark, Apache Airflow, or Kafka is an advantage • Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) • Understanding of data quality, data integration, and database optimization • Strong analytical, problem-solving, and communication skills Who Can Apply? Freshers, recent graduates, and experienced professionals interested in data engineering, big data technologies, and cloud-based data solutions are encouraged to apply, depending on the role requirements.