This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AWS Data Engineer with BI Connector To Snowflake Migration Experience based in India.
This role offers the opportunity to design and optimize modern cloud-based data solutions within a high-impact technology environment.
You will build scalable data pipelines, support complex data migrations, and enable seamless integration between BI platforms and cloud data warehouses.
The position combines AWS expertise, Snowflake capabilities, SQL development, and data engineering best practices.
You will collaborate with technical teams and business stakeholders to deliver reliable, secure, and high-performing data solutions.
This opportunity is ideal for an experienced data professional who enjoys solving complex data challenges and improving analytics capabilities.
You will contribute to cloud transformation initiatives while working with modern data technologies and enterprise-scale platforms.
Accountabilities:
The AWS Data Engineer will be responsible for developing, migrating, and optimizing data solutions using AWS and Snowflake technologies. The role requires strong technical expertise in data engineering, BI integration, and cloud-based architectures to support reliable and scalable analytics environments.
- Design, develop, and maintain scalable ETL/ELT data pipelines using AWS services and Snowflake.
- Perform BI and reporting workload migrations to Snowflake, supporting end-to-end migration activities.
- Build and optimize data models, SQL queries, and Snowflake workloads for performance and efficiency.
- Configure, manage, and troubleshoot BI connectivity with Snowflake using platforms such as Power BI, Tableau, and Looker.
- Apply Snowflake best practices related to performance optimization, security, governance, and cost management.
- Monitor, troubleshoot, and resolve data pipeline failures and production issues.
- Collaborate with BI teams, architects, developers, and business stakeholders to ensure successful delivery of data initiatives.
- Support continuous improvement of data platforms, processes, and engineering practices.
- Ensure data solutions are reliable, scalable, and aligned with business requirements.
Requirements:
The ideal candidate has strong experience in cloud data engineering, Snowflake development, and BI migration projects. This role requires someone with advanced technical skills, problem-solving abilities, and experience delivering enterprise-scale data solutions.
- 6+ years of experience in data engineering or related technical roles.
- Strong hands-on experience with Snowflake Data Warehouse.
- Strong SQL development and data engineering skills.
- Experience designing and implementing ETL/ELT pipelines.
- Proven experience with AWS data services, including:
- Amazon S3
- AWS Glue
- AWS Lambda
- AWS IAM
- Amazon CloudWatch
- Experience with data modeling, data migration, and cloud-based data solutions.
- Experience integrating BI tools with Snowflake using connectors such as JDBC and ODBC.
- Ability to analyze and resolve technical issues within complex data environments.
- Experience with Python or PySpark is an advantage.
- Familiarity with Airflow, Databricks, or Terraform is a plus.
- Experience with Snowflake performance tuning and optimization is highly desirable.
- SnowPro Core Certification is an advantage.
Benefits:
- Remote working opportunity.
- Opportunity to work on large-scale cloud data transformation projects.
- Exposure to modern technologies including AWS, Snowflake, and enterprise BI platforms.
- Opportunity to collaborate with experienced engineering and technology teams.
- Work on impactful data initiatives supporting business intelligence and analytics.
- Continuous learning and professional development opportunities.
- Dynamic environment focused on innovation and technical excellence.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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