Aws Data Engineer

We are seeking a skilled AWS Data Engineer to join our team and help shape the future of data management and analytics for our organization. In this role, you will work with a variety of AWS services to design, build, and optimize data pipelines, enabling data-driven decision-making at scale.
Requirements: 4+ years of experience in data engineering or related fields.Strong expertise in SQL and experience with Redshift stored procedures.Proficiency with AWS services, including S3, Lambda, DynamoDB, Step Functions, RDS, SNS, and SQS.Experience with data engineering tools such as EMR, Glue, and Redshift.Strong knowledge of databases, including PostgreSQL and Aurora.Experience with data modeling techniques, including Star/Snowflake Schema Design.Proficiency in Python and PySpark for data manipulation and processing.Knowledge of serverless architectures and experience with AWS Lambda and Step Functions.Strong SQL skills for querying and managing data.Familiarity with data warehousing concepts, including Datamarts and Multi-Dimensional OLAP.Familiarity with data processing frameworks such as Apache Spark or Hadoop.Knowledge of programming languages such as Python or Java for data manipulation and automation.Strong understanding of data governance and best practices for data quality.Experience working in Agile development environments.Excellent problem-solving skills and attention to detail.Strong verbal and written communication skills, with the ability to present information clearly to stakeholders. Nice to Have: Knowledge of SAS, familiarity with DevOps tools (e.g., Jenkins, Bitbucket, GitLab, Terraform) , experience with testing automation.