3Pillar warmly extends an invitation for you to join an elite team of visionaries. Beyond software development, we are dedicated to engineering solutions that challenge conventional norms. Envision you: steering projects that redefine urban living, establish new media channels for enterprise companies, or drive innovation in healthcare. Your invaluable expertise will serve as the cornerstone in shaping the future direction of our endeavours. This role transcends the ordinary realms of coding; it's about orchestrating technological marvels that disrupt industries. Seize this extraordinary opportunity to lead a team that is actively shaping the tech landscape for our clients and sets global standards along the way.
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Design, develop, and maintain scalable data pipelines and data warehouses
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Build and optimize data models in Snowflake for analytics and reporting
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Develop ETL/ELT processes using Python and modern data tools
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Implement and manage data solutions on AWS (S3, Redshift, Glue, Lambda, etc.)
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Ensure data quality, reliability, and performance across systems
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Collaborate with data analysts, data scientists, and business stakeholders
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Troubleshoot and resolve data-related issues
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Follow best practices for data security, governance, and compliance
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5+ years of experience as a Data Engineer
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Strong hands-on experience with Snowflake
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Proficiency in Python for data processing and automation
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Solid experience with AWS cloud services
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Experience with SQL and data modeling
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Knowledge of ETL/ELT frameworks and data warehousing concepts
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Strong problem-solving and communication skills
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Experience with orchestration tools (Airflow, Step Functions, etc.)
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Familiarity with CI/CD pipelines
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Experience in Agile/Scrum environments
Regards
Rajan Paul(Linkedin Profile)
3Pillar Global
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.