Sr. Data Engineer

Requirements:
Sr.

Make sure to apply quickly in order to maximise your chances of being considered for an interview Read the complete job description below.

Data Engineer, Master’s degree in Computer Science, Computer Information Systems with 2 years of exp.

Design and develop data pipelines for ingesting, transforming, and delivering structured and unstructured data using AWS Glue, Lambda, S3, Redshift, Postgre

SQL, and EKS.

Manage ETL/ELT workflows to support data processing for analytics and reporting, leveraging tools such as Airflow, dbt, and Amazon Web Services.

Collaborate with cross-functional teams to gather requirements, translate them into technical specifications, and deliver actionable data solutions.

Optimize Snowflake and AWS-based data workflows by fine-tuning SQL queries, indexing strategies, and storage configurations to improve processing speed.

Automate and streamline data tasks by implementing CI/CD pipelines for data workflows, ensuring reliability, accuracy, and timely delivery of business-critical datasets. xrlwcon

Implement data governance, security, and compliance protocols using AWS Lake Formation, IAM policies, VPC configurations, and other cloud-native security services, aligning with regulatory standards.