Data Engineering Architect – Manager
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Job Description
Data Engineering Architect managing scalable AWS Data Lakehouse architectures at Naveera Technology. Overseeing data engineering projects with a focus on analytics and reporting solutions.
Responsibilities:
- Design and implement scalable Data Lakehouse architectures on AWS
- Build and optimize data warehouse solutions using Amazon Redshift and Snowflake
- Develop and manage ETL/ELT pipelines using PySpark and AWS Glue
- Design Fact and Dimension data models for analytics workloads
- Optimize SQL queries, data distribution, and partition strategies
- Process and transform structured and semi-structured data using PySpark
- Manage data transformation workflows using DBT
- Ensure data quality, performance, and reliability across data pipelines
- Work with BI tools such as Tableau or Power BI for reporting and analytics
- Collaborate with data engineers, analysts, and business teams to deliver scalable data solutions
Requirements:
- 10+ years of experience in data engineering
- Strong knowledge of Amazon Redshift and Snowflake data warehouse architectures
- Understanding of MPP architecture, distribution keys, and sort keys
- Hands-on experience with PySpark and Spark SQL
- Experience handling JSON data, partitioning, and Spark transformations
- Knowledge of AWS Glue, DynamicFrame, and incremental data processing
- Experience with DBT including macros, Jinja templating, and incremental models
- Understanding of data warehouse concepts such as Fact and Dimension tables
- Experience working with BI tools such as Tableau or Power BI.
Benefits:
- Opportunity to work on large-scale cloud data transformation initiatives.
- Flexible remote work model from India
- Exposure to enterprise clients across the East Coast region.
- Growth-oriented leadership culture.
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