
AWS Data Engineer
2 days ago
As a data engineer with AWS experience, you will be responsible for designing and implementing end-to-end data engineering solutions using services such as Glue, EMR, Lambda, and DynamoDB. You will also be tasked with optimizing data models for scalability, efficient query patterns, and minimal read/write costs.
- Key Responsibilities:
- Design, develop, and implement scalable data pipelines to extract, transform, and load (ETL) data from diverse sources into target systems.
- Collaborate with cross-functional teams to gather data requirements and understand business objectives.
- Architect and implement data models and schemas that align with best practices and optimize query performance.
- Develop and maintain documentation for data pipelines, data flows, and data transformations.
- Mentor junior team members and provide technical guidance and support as needed.
Requirements:
- Qualifications: Bachelor's degree in Computer Science or a related field.
- Experience: Minimum of 2+ years of experience in data engineering, specifically in building and maintaining data pipelines from scratch.
- Skills: Strong proficiency in AWS services such as Glue, EMR, Lambda, Dynamo DB, Postgres. Expertise in data modelling, schema design, and relational and non-relational database concepts.
- Personal Attributes: Team player with good interpersonal skills and problem-solving abilities. Self-motivator and collaborative team player. Excellent time management skills and the ability to assume leadership roles when necessary.
Benefits:
- A flat hierarchy.
- ESOPs.
- Group Medical Coverage.
- 30 days of Leave.
- A gender-neutral parental, marriage, and compassionate leave policy.
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