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Senior Solution Engineer

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Onsite

Senior Solution Engineer

Orcapod Consulting Services

Senior Solution Engineer

Skills

SQL QueriesData EngineeringPythonAWS LambdaSnowflakeData AnalysisAIAWSGitHub

2 months ago

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Important information


Contract type:

Permanent

Location:

Mumbai, Maharashtra, India

Work mode:

Onsite

Published on:

13 August 2026

What they need


Senior Solution Engineer (Python + Snowflake)

We are seeking a Senior Solution Engineer with strong expertise in Python, Snowflake, and AWS to design, build, and support scalable cloud-native data solutions. The ideal candidate will have experience developing data pipelines, optimizing Snowflake data platforms, and delivering production-grade solutions in a cloud environment.

Key Responsibilities

  • Design and develop scalable data pipelines and data products using Python, Snowflake, and AWS.
  • Build, optimize, and maintain Snowflake databases, schemas, and data models.
  • Develop cloud-native solutions leveraging AWS services such as S3, Lambda, Glue, IAM, and CloudWatch.
  • Implement software engineering best practices including code reviews, testing, CI/CD, and monitoring.
  • Collaborate with business and technical stakeholders to deliver reliable data and analytics solutions.
  • Support production environments through troubleshooting, performance tuning, and incident resolution.
  • Leverage AI-assisted development tools such as GitHub Copilot and AI technologies including Amazon Bedrock where applicable.

Required Skills

  • 7+ years of experience in Data Engineering, Software Engineering, or Solution Engineering.
  • Strong proficiency in Python and SQL.
  • Hands-on experience with Snowflake, including data modeling, performance tuning, and data governance.
  • Strong knowledge of AWS Cloud Services.
  • Experience building ETL/ELT pipelines and cloud-based data solutions.
  • Knowledge of CI/CD, DevOps practices, Git, and automated testing.
  • Excellent problem-solving, communication, and stakeholder management skills.

Preferred Skills

  • Experience with Amazon Bedrock, Generative AI, RAG, or AI Agents.
  • AWS or Snowflake certifications (SnowPro, AWS Solutions Architect, AWS Data Engineer).
  • Experience in Financial Services, Banking, or Capital Markets.

Key Keywords

  • Python
  • Snowflake
  • AWS
  • Data Engineering
  • SQL
  • ETL
  • ELT
  • Data Pipelines
  • AWS Glue
  • S3
  • Lambda
  • CI/CD
  • DevOps
  • Data Modeling
  • Amazon Bedrock
  • Generative AI
  • RAG
  • Cloud-Native Solutions
  • Data Governance
  • SnowPro.

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