Jobs → Data & Analytics → Data Engineer

About the Role We are seeking a Data Engineer to design, build, and maintain scalable data pipelines and cloud-based data platforms. This technical role requires expertise in SQL, Python/Scala, Spark, Hadoop, and ETL/ELT tools, along with hands-on experience in Azure, AWS, or GCP data ecosystems. Key Responsibilities • Design, develop, and optimize data pipelines for batch and real-time processing • Integrate structured and unstructured data from multiple sources into cloud-based data platforms • Ensure data quality, reliability, and governance across the data lifecycle • Collaborate with data scientists, analysts, and business stakeholders to deliver analysis-ready datasets • Implement best practices for data security, scalability, and performance optimization • Monitor, troubleshoot, and maintain data workflows to ensure system stability • Document data processes, architecture, and lineage for transparency and compliance Requirements • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field • Proven experience as a Data Engineer or in a related data engineering role • Strong expertise in SQL, Python/Scala, and big data frameworks (Spark, Hadoop) • Hands-on experience with cloud data platforms (Azure Data Lake, Databricks, Synapse, AWS Redshift, GCP BigQuery) • Proficiency in ETL/ELT tools (ADF, dbt, Informatica, Talend) • Familiarity with data governance, security, and performance optimization • Strong problem-solving skills and experience with data quality, lineage, and governance frameworks