Software Engineer III - AWS Data Engineer
Software Engineer III - AWS Data Engineer
Posted on :
07-08-2025
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1 Vacancy
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Job Description
Description
We are seeking an experienced and highly skilled Senior AWS Data Engineer with over 8 years of experience to join our dynamic team. The ideal candidate will have a deep understanding of data engineering principles extensive experience with AWS services and a proven track record of designing and implementing scalable data solutions.
Key Responsibilities
- Design and implement robust scalable and efficient data pipelines and architectures on AWS.
- Develop data models and schemas to support business intelligence and analytics requirements.
- Utilize AWS services such as S3 Redshift EMR Glue Lambda and Kinesis to build and optimize data solutions.
- Implement data security and compliance measures using AWS IAM KMS and other security services.
- Design and develop ETL processes to ingest transform and load data from various sources into data warehouses and lakes.
- Ensure data quality and integrity through validation cleansing and transformation processes.
- Optimize data storage and retrieval performance through indexing partitioning and other techniques.
- Monitor and troubleshoot data pipelines to ensure high availability and reliability.
- Collaborate with cross-functional teams including data scientists analysts and business stakeholders to understand data requirements and deliver solutions.
- Provide technical leadership and mentorship to junior data engineers and team members.
- Identify opportunities to automate and streamline data processes for increased efficiency.
- Participate in on-call rotations to provide support for critical systems and services.
Required qualifications capabilities and skills
- Experience in software development and data engineering with demonstrable hands-on experience in Python and PySpark.
- Proven experience with cloud platforms such as AWS Azure or Google Cloud.
- Good understanding of data modeling data architecture ETL processes and data warehousing concepts.
- Experience or good knowledge of cloud native ETL platforms like Snowflake and/or Databricks.
- Experience with big data technologies and services like AWS EMRs Redshift Lambda S3.
- Proven experience with efficient Cloud DevOps practices and CI/CD tools like Jenkins/Gitlab for data engineering platforms.
- Good knowledge of SQL and NoSQL databases including performance tuning and optimization.
- Experience with declarative infra provisioning tools like Terraform Ansible or CloudFormation.
- Strong analytical skills to troubleshoot issues and optimize data processes working independently and collaboratively.
Preferred qualifications capabilities and skills
- Knowledge of machine learning model lifecycle language models and cloud-native MLOps pipelines and frameworks is a plus.
- Familiarity with data visualization tools and data integration patterns.
Employment Type
Full-Time
Key Skills
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