Senior Data Engineer - SnowFlake Job
At a glance
Senior Data Engineering role at Yash Technologies. Bangalore.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and support Snowflake data pipelines, then tune their SQL and processing for better performance
- Use Python to automate data work and connect Snowflake with other systems
- Create data models and DBT transformations, including macros and tests
- Set up Azure DevOps delivery pipelines and manage code in Git repositories
- Work with architects, analysts and stakeholders on scalable designs, while maintaining data quality and documentation
What you bring
- At least five years as a Snowflake developer or in a comparable data engineering role
- Strong working ability with SQL and Python, plus substantial experience building transformations with DBT
- A bachelor's or master's degree in computer science, information technology or a related subject
- Knowledge of data modelling approaches such as OLTP and OLAP, and familiarity with CI/CD pipelines
Who this fits
This senior role suits someone comfortable building and improving Snowflake data solutions within established procedures, with some room to solve problems. The listing gives an experience range of five to twelve years. It is based in Bangalore, India.
From the employer
YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.
At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.
We are looking forward to hire SnowFlake Professionals in the following areas :
Job description:
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
* Bachelor's/master's 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.
CANDIDATE'S 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.
At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.
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
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