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AWS Data Engineer
Full Time
1500000.00 - 2500000.00
Job description
Job Description: AWS Data Engineer
Position Overview
We are seeking a seasoned AWS Data Engineer with at least 3 years of experience to design and implement a robust data mart layer built on behavioral and transactional data. The ideal candidate will have a strong background in data modeling, SQL development, and ELT pipelines, with a proven ability to ensure data quality and deliver scalable solutions for analytical and business intelligence needs.
Key Responsibilities
- Design and implement data models to support analytical and reporting requirements.
- Develop and maintain ELT pipelines using AWS services and modern data engineering tools.
- Build and optimize data marts for behavioral and transactional datasets.
- Ensure data quality and integrity through validation, monitoring, and governance practices.
- Perform source-to-target mapping and document data lineage for transparency and compliance.
- Collaborate with BI developers and analysts to deliver actionable insights.
- Troubleshoot and optimize SQL queries for performance and scalability.
Qualifications
- 3+ years of experience in AWS-based data engineering.
- Strong expertise in SQL and data modeling.
- Hands-on experience with Redshift for large-scale data warehousing.
- Proficiency in Python for data processing and automation.
- Experience with Airflow for workflow orchestration.
- Knowledge of DBT for transformation and modeling.
- Background in analytical data engineering or BI development preferred.
Preferred Skills
- Strong problem-solving mindset with attention to detail.
- Ability to work in cross-functional teams and communicate effectively.
- Experience with data governance and quality frameworks.
Position Overview
We are seeking a seasoned AWS Data Engineer with at least 3 years of experience to design and implement a robust data mart layer built on behavioral and transactional data. The ideal candidate will have a strong background in data modeling, SQL development, and ELT pipelines, with a proven ability to ensure data quality and deliver scalable solutions for analytical and business intelligence needs.
Key Responsibilities
- Design and implement data models to support analytical and reporting requirements.
- Develop and maintain ELT pipelines using AWS services and modern data engineering tools.
- Build and optimize data marts for behavioral and transactional datasets.
- Ensure data quality and integrity through validation, monitoring, and governance practices.
- Perform source-to-target mapping and document data lineage for transparency and compliance.
- Collaborate with BI developers and analysts to deliver actionable insights.
- Troubleshoot and optimize SQL queries for performance and scalability.
Qualifications
- 3+ years of experience in AWS-based data engineering.
- Strong expertise in SQL and data modeling.
- Hands-on experience with Redshift for large-scale data warehousing.
- Proficiency in Python for data processing and automation.
- Experience with Airflow for workflow orchestration.
- Knowledge of DBT for transformation and modeling.
- Background in analytical data engineering or BI development preferred.
Preferred Skills
- Strong problem-solving mindset with attention to detail.
- Ability to work in cross-functional teams and communicate effectively.
- Experience with data governance and quality frameworks.
Required skills
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Company information
- Company
- Zorba Consulting India
- Location
-
India, Telangana, Hyderabad
India - Posted
- 8 months ago
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