Jobs → Data & Analytics → Data Engineer

About the Role We are looking for an experienced AWS Data Engineer to design, develop, and maintain scalable cloud-based data solutions. This role requires strong expertise in AWS services, big data technologies, SQL, ETL pipelines, and data orchestration. Key Responsibilities • Design and implement cloud-based data solutions using AWS S3, Glue, Redshift, EMR, Athena, Kinesis, and Lambda • Build and maintain data orchestration workflows using Apache Airflow and AWS Step Functions • Develop and optimize large-scale ETL/ELT data pipelines using SQL and big data technologies • Build analytical data environments supporting machine learning, predictive modeling, and statistical analysis • Develop data pipeline monitoring, logging, alerting, and data quality frameworks • Create dashboards, reports, analytical models, and decision-support solutions • Perform root-cause analysis and improve data processing, scalability, and performance • Collaborate with data scientists, research analysts, business stakeholders, and cross-functional teams • Ensure data governance, privacy, security, and compliance standards Requirements • Strong experience in AWS Data Engineering and cloud-based data solutions • Advanced SQL and relational database knowledge • Hands-on experience with AWS S3, Glue, Redshift, EMR, and Athena • Experience with Python, PySpark, and big data technologies • Expertise in ETL/ELT pipelines and data transformation • Experience with Apache Airflow or AWS Step Functions • Knowledge of Kinesis, Lambda, message queuing, and stream processing • Experience developing dashboards, reports, and analytical models • Strong analytical, problem-solving, communication, and project management skills