
AWS Data Engineering Expert
1 week ago
We are seeking a highly skilled and experienced Data Engineer to drive our data engineering initiatives.
The ideal candidate should have a strong background in AWS services, including Glue, EMR, Lambda, and expertise in data modelling, Python, SQL, PartiQL, and integrating third-party APIs from scratch.
- Design and implement end-to-end data engineering solutions from ground up 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.
- Stay up-to-date with industry trends and emerging technologies in data engineering, AWS services, and third-party API integrations.
- 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 modelling, schema design, and relational and non-relational database concepts.
- Solid working knowledge of SQL, SQL tuning, and data modeling best practices.
- Experience in designing and implementing single-table architecture in DynamoDB, optimizing data models for scalability, efficient query patterns, and minimal read/write costs.
- Proficiency in using PartiQL to query and manipulate data in DynamoDB, with a focus on optimizing queries for performance and integrating complex business logic.
- Experience in developing and optimizing SQL queries for performance.
- Proficiency in Python programming for data manipulation, transformation, and scripting tasks.
- Familiarity with data warehouse concepts, OLAP, and Big Data technologies.
- Experience in integrating third-party APIs to retrieve and ingest data from external systems.
- Team player with good interpersonal skills and problem-solving abilities.
- Self-motivator and collaborative team player.
- Excellent time management skills and ability to assume leadership roles when necessary.
- Agile, action-oriented, and quick learner.
- Out-of-box thinker.
- Flat hierarchy.
- Employee Stock Ownership Plan (ESOPs).
- Group Medical Coverage.
- 30 days of Leave.
- Gender-neutral parental, marriage, and compassionate leave policy.
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