BENGALURU · FULLTIME
Sr Data Engineer - SnowFlake
YASH Technologies
Bengaluru · onsite · Posted 1d ago
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Undisclosed5–12 yrsfulltimeBengaluru
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Section · 01
About this role
We are looking forward to hire SnowFlake Professionals in the following areas :
:
Experience required: 5-12 years
Key Accountabilities
Develop and maintain complex data pipelines and ETL processes in Snowflake.
Write efficient and optimized SQL queries for data extraction, transformation, and loading.
Utilize Python for advanced data processing, automation tasks, and integration with other systems.
Implement and oversee data modelling techniques, including OLTP, OLAP, and Data Vault 2. 0 methodologies.
Collaborate with data architects, analysts, and stakeholders to design optimal and scalable data solutions.
Manage and optimize CI/CD pipelines using Azure DevOps for seamless deployment of data solutions.
Ensure data quality, integrity, and compliance throughout the data lifecycle.
Troubleshoot, optimize, and enhance existing data processes and queries for performance improvements.
Document data models, processes, and workflows clearly for future reference and knowledge sharing.
Performance Tuning: Implement advanced techniques for performance tuning methodologies in Snowflake to optimize query performance and reduce data processing time.
DBT Development: Develop and maintain DBT models, macros, and tests for managing data transformations in Snowflake.
Version Control Management: Manage version control using Git repositories, enabling seamless code management and collaboration.
CI/CD Pipeline Development & Automation: Design, implement, and maintain automated CI/CD pipelines using Azure DevOps for Snowflake and DBT deployment processes.
Impacts the effectiveness of own work team through the quality and timeliness of the work produced.
Largely works within standardized procedures and practices to achieve objectives and meet deadlines and gains some discretion in problem solving.
Qualifications
Bachelors/masters degree in computer science, Information Technology, or a related field.
Experience
Minimum of 5 years of proven experience as a Snowflake Developer or in a similar data engineering role.
Extensive hands-on experience with SQL and Python, demonstrating proficiency in data manipulation and analysis.
Significant industry experience working with DBT (Data Build Tool) for data transformation.
Strong familiarity with CI/CD pipelines, preferably in Azure DevOps.
Deep understanding of data modelling techniques ( OLTP, OLAP ) and best practices.
CANDIDATES PROFILE
Work Experience
Minimum of 5 years of proven experience as a Snowflake Developer or in a similar data engineering role.
Extensive hands-on experience with SQL and Python, demonstrating proficiency in data manipulation and analysis.
Significant industry experience working with DBT ( Data Build Tool ) for data transformation.
Strong familiarity with CI/CD pipelines, preferably in Azure DevOps.
Deep understanding of data modelling techniques (OLTP, OLAP, DBT) and best practices.
Preferred Qualifications:
Experience in working with large datasets and performance tuning in Snowflake.
Familiarity with data governance, data security best practices, and compliance standards.
Knowledge of additional data technologies ( e. g. , AWS, Azure ) is a plus.
Experience in leading projects or mentoring junior developers is advantageous.
Develop and maintain complex data pipelines and ETL processes in Snowflake.
Write efficient and optimized SQL queries for data extraction, transformation, and loading.
Utilize Python for advanced data processing, automation tasks, and integration with other systems.
Implement and oversee data modelling techniques, including OLTP, OLAP, and Data Vault 2. 0 methodologies.
Collaborate with data architects, analysts, and stakeholders to design optimal and scalable data solutions.
Manage and optimize CI/CD pipelines using Azure DevOps for seamless deployment of data solutions.
Ensure data quality, integrity, and compliance throughout the data lifecycle.
Troubleshoot, optimize, and enhance existing data processes and queries for performance improvements.
Document data models, processes, and workflows clearly for future reference and knowledge sharing.
Performance Tuning: Implement advanced techniques for performance tuning methodologies in Snowflake to optimize query performance and reduce data processing time.
DBT Development: Develop and maintain DBT models, macros, and tests for managing data transformations in Snowflake.
Version Control Management: Manage version control using Git repositories, enabling seamless code management and collaboration.
CI/CD Pipeline Development & Automation: Design, implement, and maintain automated CI/CD pipelines using Azure DevOps for Snowflake and DBT deployment processes.
Impacts the effectiveness of own work team through the quality and timeliness of the work produced.
Largely works within standardized procedures and practices to achieve objectives and meet deadlines and gains some discretion in problem solving.
Qualifications
Bachelors/masters degree in computer science, Information Technology, or a related field.
Experience
Minimum of 5 years of proven experience as a Snowflake Developer or in a similar data engineering role.
Extensive hands-on experience with SQL and Python, demonstrating proficiency in data manipulation and analysis.
Significant industry experience working with DBT (Data Build Tool) for data transformation.
Strong familiarity with CI/CD pipelines, preferably in Azure DevOps.
Deep understanding of data modelling techniques ( OLTP, OLAP ) and best practices.
CANDIDATES PROFILE
Work Experience
Minimum of 5 years of proven experience as a Snowflake Developer or in a similar data engineering role.
Extensive hands-on experience with SQL and Python, demonstrating proficiency in data manipulation and analysis.
Significant industry experience working with DBT ( Data Build Tool ) for data transformation.
Strong familiarity with CI/CD pipelines, preferably in Azure DevOps.
Deep understanding of data modelling techniques (OLTP, OLAP, DBT) and best practices.
Preferred Qualifications:
Experience in working with large datasets and performance tuning in Snowflake.
Familiarity with data governance, data security best practices, and compliance standards.
Knowledge of additional data technologies ( e. g. , AWS, Azure ) is a plus.
Experience in leading projects or mentoring junior developers is advantageous.
Our Hyperlearning workplace is grounded upon four principles
- Flexible work arrangements, Free spirit, and emotional positivity
- Agile self-determination, trust, transparency, and open collaboration
- All Support needed for the realization of business goals,
- Stable employment with a great atmosphere and ethical corporate culture
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Section · 02
Skills
data qualitydata extractionAutomationAzure DevopsAgileData EngineerCI/CD Pipelinesdata manipulationamazon web servicesdata modelsData Build ToolData EngineeringData GovernancecomplianceData ProcessingMicrosoft AzureData Pipeline
Section · Company
About YASH Technologies
YASH Technologies
IT Services & Consulting
4.9k+
employees
1996
30 years old
Indore, Madhya Pradesh
India
About
YASH Technologies is a leading systems integrator and outsourcing partner that focuses on empowering its customers to drive enterprise-wide business transformation at scale.
Industries
IT Services & Consulting
Employee ratings
2,024 reviews
3.6/ 5
Culture
3.6
Career growth
3.1
Work-life
3.7
Employees rate it well for
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