Synergy Technologies
Syntec Systems - Senior Data Engineer - Snowflake/ETL
Senior Data Engineer (8+ yrs) based in Hyderabad who designs and maintains scalable ETL/ELT pipelines and AI-ready data workflows using SQL, Python, Snowflake, and AWS (S3, Lambda, Glue), including preparing data for Generative AI/RAG applications and leading code reviews and performance tuning.
- Compensation
- Not disclosed
- Location
- Hyderabad; Telangana
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Full time
- Experience
- 8+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 8+ years of experience in Data Engineering, ETL development, or a related field
- Strong expertise in SQL and Python programming
- Extensive experience building and maintaining ETL/ELT pipelines
- Strong understanding of data modeling, data warehousing, and data quality
- Experience with relational databases, data integration, and pipeline troubleshooting
- Good knowledge of Git, debugging, performance optimization, and software development practices
- Experience with Snowflake data loading, transformation, and performance optimization
Nice to have
- Experience with AWS services (S3, Lambda, Glue, IAM) for cloud data solutions
- Experience preparing structured and unstructured data for Generative AI, knowledge assistants, and RAG workflows
- Experience with dbt, Airflow, and REST APIs
Full description
Role : Senior Data Engineer - Snowflake & AI Data Solutions.
Experience : 8+ Years.
Employment Type : Full-Time.
About the Role :
Syntec Systems is looking for an experienced Senior Data Engineer with strong SQL, Python, Snowflake, and cloud data engineering skills. The candidate will lead the development of scalable data pipelines, enterprise data transformation solutions, and AI-ready data workflows using AWS services.
Key Responsibilities :
- Design, develop, and maintain scalable ETL/ELT pipelines and data processing workflows.
- Write, optimize, and troubleshoot complex SQL queries.
- Develop Python scripts for data processing, automation, and integration.
- Design and implement data solutions using Snowflake, including data loading, transformation, and performance optimization.
- Integrate data from relational databases, REST APIs, CSV, JSON, and other enterprise sources.
- Implement data cleansing, validation, reconciliation, and data quality processes.
- Work with AWS services such as S3, Lambda, and Glue to support cloud-based data solutions.
- Prepare structured and unstructured data for Generative AI applications, knowledge assistants, and RAG workflows.
- Collaborate with Go/backend developers, architects, and technical leads to integrate data pipelines with application APIs.
- Lead technical problem-solving, code reviews, performance tuning, and best practices.
- Support POCs, testing, documentation, and client demonstrations.
Tech Stack :
- SQL, Python, Snowflake, AWS (S3, Lambda, Glue, IAM), Git, dbt, Airflow, REST APIs, JSON, Generative AI, LLMs, RAG.
Required Skills :
- 8+ years of experience in Data Engineering, ETL development, or a related field.
- Strong expertise in SQL and Python programming.
- Extensive experience building and maintaining ETL/ELT pipelines.
- Strong understanding of data modeling, data warehousing, and data quality.
- Experience with relational databases, data integration, and pipeline troubleshooting.
- Good knowledge of Git, debugging, performance optimization, and software development practices.