Snowflake Developer

Anlage Infotech (India) P Ltd

Pune District, Chennai District, Bengaluru

Sur place

INR 1 200 000 - 1 800 000

Plein temps

Il y a 4 jours
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Résumé du poste

Anlage Infotech (India) P Ltd is hiring a Lead Engineer - II with deep Snowflake and Matillion ETL expertise to design, build, and optimize scalable data pipelines and data warehouse solutions.

The role requires hands-on cloud experience, data integration, performance tuning, and end-to-end data lifecycle management. Mentoring junior engineers and collaborating with stakeholders are key aspects.

Qualifications

  • Hands-on Snowflake data warehouse expertise and best practices
  • Proficiency in Matillion ETL/ELT for job orchestration and transformations
  • Advanced SQL and query optimization skills
  • Experience with ETL/ELT tooling and data pipeline development
  • Familiarity with JSON/XML/Parquet semi-structured data
  • Cloud platform experience (AWS/Azure/GCP)

Responsabilités

  • Design and implement scalable data solutions using Snowflake
  • Develop, maintain, and optimize ETL/ELT pipelines with Matillion
  • Build and manage data ingestion frameworks for structured and semi-structured data
  • Collaborate with stakeholders to translate data requirements into solutions
  • Optimize Snowflake performance and cost, including tuning and sizing
  • Implement data modeling techniques (Star/Snowflake schema, dimensional modeling)
  • Ensure data quality, governance, and security compliance
  • Integrate data from APIs, databases, and external systems
  • Work with cloud platforms (AWS/Azure/GCP) for end-to-end deployment
  • Mentor junior engineers and participate in architecture and code reviews
  • Automate workflows and monitoring using best practices

Connaissances

Snowflake
Matillion ETL
SQL
Python
Shell scripting
ETL/ELT pipelines
Data modeling
Cloud platforms
Airflow
CI/CD
Data governance
Security controls

Outils

dbt
Airflow
AWS S3
Redshift

Description du poste

Data Engineering, Data Warehousing, and Cloud-based Data Platforms Job Summary Lead Engineer - II with deep expertise in Snowflake and Matillion ETL to design, build, and optimize scalable data pipelines and data warehouse solutions. The candidate should have strong hands-on experience in cloud platforms, data integration, performance tuning, and end-to-end data lifecycle management. ________________________________________

Key Responsibilities
  • Design and implement scalable data solutions using Snowflake
  • Develop, maintain, and optimize ETL/ELT pipelines using Matillion
  • Build and manage data ingestion frameworks for structured and semi-structured data
  • Collaborate with business stakeholders to understand data requirements and translate them into technical solutions
  • Optimize Snowflake performance (query tuning, clustering, warehouse sizing, etc.)
  • Implement data modeling techniques (Star Schema, Snowflake Schema, Dimensional Modeling)
  • Ensure data quality, governance, and security compliance
  • Integrate data from multiple sources such as APIs, databases, flat files, and external systems
  • Work with cloud platforms (AWS/Azure/GCP) for end-to-end data pipeline deployment
  • Mentor junior engineers and lead technical discussions
  • Automate workflows and monitoring using best practices
  • Participate in architecture design and code reviews
Required Skills
Core Skills
  • Strong hands-on experience with Snowflake Data Warehouse
    • Snowflake architecture, Time Travel, Data Sharing, Zero Copy Cloning
    • Performance tuning and cost optimization
  • Expertise in Matillion ETL/ELT
    • Job orchestration, transformations, and scheduling
  • Advanced knowledge of SQL & query optimization
  • Data Engineering
    • Experience with ETL/ELT tools and data pipeline development
    • Strong understanding of data warehousing concepts
    • Experience with semi-structured data (JSON, XML, Parquet)
Cloud & Integration
  • Hands-on experience with at least one cloud platform (AWS/Azure/GCP)
  • Experience with services like:
    • AWS: S3, Lambda, Redshift (optional), Glue
    • Azure: ADLS, Data Factory
  • API integration and data ingestion techniques
Programming
  • Proficiency in Python / Shell scripting for automation
  • Familiarity with version control tools (Git)
Preferred Skills
  • Knowledge of dbt (Data Build Tool)
  • Experience with Airflow or other orchestration tools
  • Familiarity with CI/CD pipelines and DevOps practices
  • Experience in data governance and security frameworks
  • Domain experience in healthcare, finance, or retail (optional)
Nice to Have
  • Snowflake certification (SnowPro Core/Advanced)
  • Matillion certification
  • Experience in handling large-scale distributed data systems
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