Jobs → Data & Analytics → AWS Data Engineer & Insights Analyst

About the Role We are seeking an experienced AWS Data Engineer & Insights Analyst to join our team. This role involves working with cloud-based data services and big data tools to design, implement, and maintain data pipelines and analytics solutions. Key Responsibilities • Design and implement data solutions using AWS services such as S3, EC2, Glue, EMR, RDS, Redshift, Athena, and Lambda • Develop and maintain data pipelines and workflows using tools like Airflow, Azkaban, and Luigi • Work with both relational and NoSQL databases including Oracle, MS SQL Server, Postgres, and Cassandra • Implement data modeling techniques including dimensional modeling, data vault, and star/snowflake schemas • Utilize data cataloging and metadata management tools such as AWS Glue Data Catalog • Ensure data governance, data lineage, and data quality standards are met • Integrate REST APIs and work with big data tools like Hadoop, Spark, and Kafka • Experience with data integration services from vendors such as Informatica, MuleSoft, Talend, and TIBCO • Work with stream-processing systems like Storm and Spark-Streaming Requirements • Hands-on experience with cloud-based data services such as AWS (S3, EC2, Glue, EMR, RDS, Redshift, Athena, Lambda, DynamoDB) • Proficiency in object-oriented/object function scripting languages: Python, R, Java, C++, Scala • Proficiency in relational SQL and NoSQL databases, including Oracle, MS SQL Server, Postgres, Cassandra • Experience with version control systems such as Git and CI/CD pipelines • Knowledge of data modeling techniques including dimensional modeling, data vault, and star/snowflake schemas • Familiarity with data cataloging and metadata management tools such as AWS Glue Data Catalog • Understanding of data governance, data lineage, and data quality frameworks • Knowledge of REST API design and integration patterns • Experience with big data tools: Hadoop, Spark, Kafka • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow • Experience with data integration services solutions from vendors such as Informatica, MuleSoft, Talend, and TIBCO • Experience with stream-processing systems: Storm, Spark-Streaming