Data Engineer

Data EngineerWe are seeking a skilled Data Engineer to design, develop, and maintain scalable data pipelines and modern data platforms. The ideal candidate will have strong expertise in ETL/ELT development, cloud technologies, SQL, Python, and big data frameworks. This role requires collaboration with business stakeholders, data analysts, and data scientists to deliver high-quality, reliable data solutions that support analytics and business intelligence ResponsibilitiesDesign, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured and optimize data ingestion, transformation, and processing workflows.Develop and maintain data warehouses, data lakes, and lakehouse architectures.Ensure data quality, integrity, governance, and security across data SQL queries and data processing jobs for performance and scalability.Collaborate with business analysts, data scientists, and application teams to understand data requirements.Implement monitoring, logging, and automated validation for data pipelines.Troubleshoot production issues and provide timely resolution.Participate in code reviews and follow best practices for version control and CI/CD.Create technical documentation for data models, pipelines, and processes.Required QualificationsBachelor's degree in Computer Science, Information Technology, Engineering, or a related field.5+ years of experience in Data Engineering.Strong proficiency in Python and SQL.Hands-on experience with Apache Spark and PySpark.Experience developing ETL/ELT pipelines using modern data engineering tools.Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).Experience with data warehouses such as Snowflake, Amazon Redshift, BigQuery, or Azure Synapse.Knowledge of workflow orchestration tools such as Apache Airflow, Azure Data Factory, or AWS Glue.Experience working with Git, CI/CD pipelines, and Agile methodologies.Strong analytical, troubleshooting, and problem-solving skills.