Chief Data Architect
1 week ago
**Job Title:** AWS Data Engineer with Dynamo DB Experience
We are seeking a highly skilled and experienced data engineer to join our dynamic team. The ideal candidate will have a strong background in AWS services, including Glue, EMR, Lambda, and expertise in data modeling, Python, SQL, PartiQL, and integrating third-party APIs from scratch.
Key Responsibilities:
- Design, develop, and implement end-to-end data engineering solutions on the AWS platform using services such as Glue, EMR, Lambda, and more.
- Design and implement scalable DynamoDB databases, optimizing performance and ensuring data consistency, throughput, and storage efficiency.
- Collaborate with cross-functional teams and stakeholders to gather data requirements and understand business objectives.
- Architect and implement data models and schemas that align with best practices and optimize query performance.
- Build robust and scalable data pipelines to extract, transform, and load (ETL) data from diverse sources into target systems.
- Integrate third-party APIs to retrieve and ingest data from external systems, ensuring data accuracy and reliability.
- Perform data profiling, data cleansing, and data quality checks to ensure accuracy and consistency.
- Optimize SQL queries and database performance, leveraging SQL tuning techniques and indexing strategies.
- Implement data governance and security measures to protect sensitive data throughout the pipeline.
- Develop and maintain documentation for data pipelines, data flows, and data transformations.
- Mentor junior team members and provide technical guidance and support as needed.
- Manage and analyze geospatial data, implementing solutions for storing, retrieving, and processing location-based information while integrating geospatial indexing and query optimization techniques.
Requirements:
- Bachelor's degree in Computer Science or a related field.
- Minimum of 2+ years of experience in data engineering, specifically in building and maintaining data pipelines from scratch.
- Strong proficiency in AWS services such as Glue, EMR, Lambda, Dynamo DB, Postgres.
- Expertise in data modeling, schema design, and relational and non-relational database concepts.
- Solid working knowledge of SQL, SQL tuning, and data modeling best practices.
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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