Snowflake developer

Infosys

Chennai District

On-site

INR 2,500,000 - 4,000,000

Full time

15 hours ago
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Job summary

Infosys is seeking a seasoned Snowflake Data Engineer to lead end-to-end implementations and craft scalable data models on Snowflake within AWS. You will own the delivery lifecycle from discovery through production rollout, collaborate with stakeholders, and mentor junior engineers.

You will design schemas, warehouses, and clustering to optimize analytics and drive cost-efficient pipelines, while enforcing governance and security best practices across the platform.

Qualifications

  • Bachelor’s degree in Engineering/Technology/Computer Applications/Science (BTech/BE/MCA/MSc or equivalent).
  • 6–10 years of experience with data warehousing and cloud data platforms.
  • Strong expertise in Snowflake incl. architecture, data modeling, performance tuning, and security features.
  • Strong experience with AWS services used in data platforms and integrations.
  • Proven experience leading technical delivery, owning solution outcomes, and collaborating with stakeholders.

Responsibilities

  • Lead end-to-end Snowflake implementations including discovery, design, development, testing, and production rollout.
  • Design and build scalable Snowflake data models (schemas, warehouses, clustering) for analytics and reporting.
  • Develop and optimize ELT/ETL pipelines leveraging Snowflake capabilities for performance and cost efficiency.
  • Implement data ingestion and integration patterns on AWS for batch and near-real-time movement into Snowflake.
  • Drive performance tuning across Snowflake workloads and ensure SLA adherence.
  • Establish data governance with access controls, secure sharing, and auditing per policies.
  • Collaborate with cross-functional teams to translate requirements into technical specs and delivery plans.
  • Provide technical leadership through code reviews, best practices, documentation, and mentoring.
  • Support production operations including monitoring, incident triage, root-cause analysis, and continuous improvement.

Skills

Snowflake
AWS
Data Modeling
ETL/ELT
SQL
Performance Tuning
Data Governance
Leadership

Education

Bachelors in Engineering/Tech/CS
Masters in Engineering/Tech

Tools

Snowflake Console
SQL Developer Tools

Job description

Technology->Data on Cloud-DataStore->Snowflake
Key Responsibilities:

  • Lead end-to-end Snowflake implementations including requirement discovery, solution design, development, testing, and production rollout.
  • Design and build scalable data models in Snowflake (schemas, warehouses, clustering strategies) aligned to analytics and reporting needs.
  • Develop and optimize ELT/ETL pipelines leveraging Snowflake capabilities for performance and cost efficiency.
  • Implement data ingestion and integration patterns on AWS to support batch and near-real-time data movement into Snowflake.
  • Drive performance tuning across Snowflake workloads (query optimization, warehouse sizing, caching strategies) and ensure SLA adherence.
  • Establish data governance practices including access controls, secure data sharing, and auditing aligned with organizational policies.
  • Collaborate with cross-functional teams to translate business requirements into technical specifications and delivery plans.
  • Provide technical leadership through code reviews, best practices, documentation, and mentoring of junior team members.
  • Support production operations including monitoring, incident triage, root-cause analysis, and continuous improvement. Minimum Qualifications:
  • Bachelor’s degree (or equivalent) in Engineering/Technology/Computer Applications/Science (BTech/BE/MCA/MSc or equivalent).
  • 6–10 years of overall experience with strong hands-on delivery in data warehousing and cloud data platforms.
  • Strong expertise in Snowflake including architecture concepts, data modeling, performance tuning, and security features.
  • Strong experience with AWS services used in data platforms and integrations.
  • Proven experience leading technical delivery, owning solution outcomes, and working directly with stakeholders. Preferred Qualifications:
  • Master’s degree (MTech or equivalent) is a plus.
  • Experience designing cloud-native data platform architectures on AWS integrated with Snowflake for enterprise-scale workloads.
  • Strong consulting skills: stakeholder management, estimation, delivery planning, and presenting solution approaches to technical and non-technical audiences.
  • Experience implementing robust security and governance patterns (role-based access, data masking, auditing, secure sharing) in Snowflake.
  • Track record of optimizing cost and performance through workload management, warehouse strategies, and operational best practices.
  • Experience mentoring teams and establishing reusable frameworks, standards, and delivery accelerators.
  • Good to have skills: SQL, Data Modeling, ETL/ELT, Data Governance, Performance Tuning
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