Senior Data Engineer at Trellance Inc

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

29 Jul, 26

Salary

0.0

Posted On

30 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Snowflake, Data Engineering, SQL, ETL/ELT, Data Pipelines, Snowpipe, Data Warehousing, AWS, Azure, Data Modeling, Python, Snowpark, CI/CD, Git, Data Governance, Business Intelligence

Industry

Financial Services

Description

Company Detail CU Rise Analytics Pvt. Ltd. is a wholly owned subsidiary of Trellance, Inc. CU Rise Analytics is an offshore development centre of Trellance Inc., working collaboratively to offer comprehensive solutions for data analytics, technology and talent to allow our credit union clients to provide high quality service to their members and remain competitive. Our core expertise lies in data science and technology, encompassing data analytics, predictive modelling, business intelligence, and technology services. Trellance Cooperative Holdings, Inc. is a credit union cooperative and leading technology partner for credit unions. Its companies – consisting of Rise Analytics, ProBridge, Optiri and CUDX – provide innovative technology solutions for credit unions to increase efficiency, manage risk and improve the member experience. Trellance’s mission is to make sure credit unions have access to the tools and resources they need to grow, enhance member value and remain competitive in a rapidly evolving financial landscape. Learn more at Trellance.com [https://www.trellance.com/] Experience Required: 5 to 8 years Job Description: We are seeking skilled Senior Data Engineer with expertise in Snowflake to join our team. As a Senior Data Engineer, you will be critical in our client’s migration from on-premises systems to Snowflake, a cloud-based data platform. You will be responsible for building robust and efficient data pipelines, transforming raw data, and ensuring smooth data consumption. Responsibilities: * Collaborate with cross-functional teams to understand data requirements and design performant, efficient, and secure data pipelines from the landing zone to the consumption level in Snowflake. * Utilize native Snowflake capabilities to implement data transformations, aggregations, and enrichments to meet business needs. * Develop and maintain data ingestion processes from on-premises sources to the landing zone, ensuring data integrity and accuracy throughout the pipeline. * Work closely with the architecture team to ensure seamless integration of data sources, leveraging Snowflake's features and functionalities. * Optimize data pipelines for performance, scalability, and reliability, implementing best practices and monitoring mechanisms. * Collaborate with data analysts and other stakeholders to understand data consumption requirements and provide solutions for efficient data retrieval. * Ensure compliance with data governance policies and industry standards throughout the data engineering process. * Continuously stay updated with the latest advancements in Snowflake and data engineering techniques, sharing knowledge and insights with the team. Skills & Qualifications: Must-Have: * Bachelor’s degree in computer science, Engineering, or a related field (or equivalent practical experience). * Proven experience as a Data Engineer with a focus on Snowflake, including hands-on experience in building end-to-end data pipelines. * Strong understanding of Snowflake architecture, data warehousing concepts, and ETL/ELT methodologies. * Proficiency in SQL for data manipulation and transformation within Snowflake. * Expertise and experience using Snowflake procedures, functions, streams, tasks, external stages, and external tables. * Expertise and experience using blob and data lake storage (AWS/Azure). * Expertise and experience using Snowpipe. * Experience with data integration and ingestion tools, such as Fivetran, AWS Glue, Azure Data Factory, or dbt. * Familiarity with cloud platforms (e.g., AWS, Azure) and their data services. * Solid understanding of data modeling principles and ability to design efficient data structures within Snowflake. * Strong problem-solving skills and ability to analyze complex data requirements to develop effective solutions. * Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. * Proactive and self-motivated with a passion for data engineering and delivering high-quality solutions. Preferred Qualifications: * Snowflake certification(s) in Data Engineering or related areas. * Experience integrating external systems and services with Snowflake. * Experience with Snowpark, especially with Python. * Experience with version control systems (e.g., Git) and CI/CD pipelines. * Knowledge of Python or other scripting languages for data processing and automation. * Expertise in Banking Data/Domain. * Familiarity with data governance frameworks and practices. * Experience with data visualization tools (e.g., Tableau, Power BI) for reporting and analytics.

Responsibilities

The Senior Data Engineer will design and implement secure, performant data pipelines to migrate on-premises systems to Snowflake. They will also collaborate with cross-functional teams to optimize data ingestion, transformation, and consumption processes.