Website:
naveeratech.com
Job details:
About Naveera IT Consulting Pvt Ltd
Naveera Technology LLC is a trusted global engineering partner delivering Data Engineering, Generative AI, Application Development and IT Infrastructure solutions. With over 15 years of IT services and consulting experience and a team of 400+ expert engineers, we help organizations transform raw data into deployable business value. Our approach emphasises “Production over Pilots” — we don’t stop at proof-of-concepts; we engineer systems that go live, scale reliably, and deliver measurable outcomes. With our CoE-driven delivery model, product engineering DNA, and a scalable talent acquisition engine, we align deeply with enterprise demands for performance, compliance, continuity and innovation. From Digital Health to Financial Services, E-Commerce to Technology, we serve a diverse industry base and back every engagement with proven frameworks, low-attrition teams and agile global delivery. At Naveera, we empower clients to turn challenge into growth, data into insight and concepts into platforms.
Job Title: Data Engineering Architect/ Manager – Data Lakehouse
Experience: 10+ Years
Job Location: Madurai, Tamil Nadu, India
Working Mode: Remote/Hybrid
Job Type: Full-Time
Shift Timing: 2 PM to 11 PM IST Time Zone
Key Skills: AWS Data Architecture, Redshift, Snowflake, SQL, PySpark, AWS Glue, DBT, Data Warehousing, Tableau/Power BI
About the Role
We are looking for an experienced AWS Data Architect with 8+ years of experience in building scalable data platforms. The ideal candidate should have strong expertise in Data Lakehouse architecture, Data Warehousing (Redshift & Snowflake), SQL, PySpark, AWS Glue, and DBT. The role involves designing and optimizing data pipelines, data models, and data warehouse solutions to support analytics and reporting.
Tasks
Key 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
Required Skills
- Strong knowledge of Amazon Redshift and Snowflake data warehouse architectures
- Understanding of MPP architecture, distribution keys, and sort keys
- Experience with advanced SQL including window functions and query optimization
- 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 Tableau or Power BI
- Familiarity with AI tools used in data workflows
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.
Join Naveera Technology LLC as a Data Engineering Architect/Manager and lead innovative projects with a global team. Transform data into business value and drive impactful results.
Click on Apply to know more.