Job Summary:
As the hands-on Data Engineer for Clearwater Analytics, you will play a crucial role in
designs, develops, and maintains data systems and architectures to collect, store, process, and analyse large volumes of data. You will be building data pipelines, optimize data models, and ensure data quality and security. You will be collaborating with cross-functional teams to meet business objectives and stay updated with emerging technologies and industry best practices.
Responsibilities and Duties:
- Extensive experience with Snowflake, including proficiency in Snow SQL CLI, Snowpipe, creating custom functions, developing Snowflake stored procedures, schema modeling, and performance tuning.
- In-depth expertise in Snowflake data modeling and ELT processes using Snowflake SQL, as well as implementing complex stored procedures and leveraging Snowflake Task Orchestration for advanced data workflows.
- Strong background in DBT CLI, DBT Cloud, and GitHub version control, with the ability to design and develop complex SQL processes and ELT pipelines.
- Take a hands-on approach in designing, developing, and supporting low-latency data pipelines, prioritizing data quality, accuracy, reliability, and efficiency
- Advance SQL knowledge and hands-on experience in complex query writing using Analytical functions, Troubleshooting, problem-solving, and performance tuning of SQL queries accessing data warehouse as well as Strong knowledge of stored procedures.
- Collaborate closely with cross-functional teams including, Enterprise Architects, Business Analysts, Product Owners, Solution Architects actively engaging in gathering comprehensive business requirements and translate these requirements into scalable data cloud and Enterprise Data Warehouse (EDW) solutions that precisely align with organizational needs
- Play a hands-on role in conducting data modeling, ETL (Extract, Transform, Load) development, and data integration processes across all Snowflake environments.
- Develop and implement comprehensive data governance policies and procedures to fortify the accuracy, security, and compliance of Snowflake data assets across all environments.
- Capable of independently conceptualizing and developing innovative ETL and reporting solutions, driving them through to successful completion.
- Create comprehensive documentation for database objects and structures to ensure clarity and consistency.
- Troubleshoot and resolve production support issues post-deployment, providing effective solutions as needed.
- Devise and sustain comprehensive data dictionaries, metadata repositories, and documentation to bolster governance and facilitate usage across all Snowflake environments.
- Remain abreast of the latest industry trends and best practices, actively sharing knowledge and encouraging the team to continuously enhance their skills.
- Continuously monitor the performance and usage metrics of Snowflake database and Enterprise Data Warehouse (EDW), conducting frequent performance reviews and implementing targeted optimization efforts
Skills Required:
- Familiarity with big data, data warehouse architecture and design principles
- Strong understanding of database management systems, data modeling techniques, data profiling and data cleansing techniques
- Expertise in Snowflake architecture, administration, and performance tuning.
- Experience with Snowflake security configurations and access controls.
- Knowledge of Snowflake's data sharing and replication features.
- Proficiency in SQL for data querying, manipulation, and analysis.
- Experience with ETL (Extract, Transform, Load) tools and processes.
- Ability to translate business requirements into scalable EDW solutions.
- Streaming Technologies like AWS Kinesis
Qualifications:
- Bachelor's degree in Computer Science, Information Systems, or a related field.
- 4-10 years of hands-on experience in data warehousing, ETL development, and data modeling, with a strong track record of designing and implementing scalable Enterprise Data Warehouse (EDW) solutions.
- 3+ years of extensive hands-on experience with Snowflake, demonstrating expertise in leveraging its capabilities.
- Proficiency in SQL and deep knowledge of various database management systems (e.g., Snowflake, Azure, Redshift, Teradata, Oracle, SQL Server).
- Experience utilizing ETL tools and technologies such as DBT, Informatica ,SSIS, Talend
- Expertise in data modeling techniques, with a focus on dimensional modeling and star schema design.
- Familiarity with data governance principles and adeptness in implementing security best practices.
- Excellent problem-solving and troubleshooting abilities, coupled with a proven track record of diagnosing and resolving complex database issues.
- Demonstrated leadership and team management skills, with the ability to lead by example and inspire others to strive for excellence.
- Experience in the Finance industry will be a significant advantage
Top Skills
What We Do
Clearwater Analytics is the leading provider of web-based investment portfolio accounting, reporting, and reconciliation services for institutional investors at thousands of organizations.
Clearwater aggregates, reconciles, and reports on more than $5.5 trillion in assets across thousands of accounts daily. Our clients include corporate treasuries, insurance companies, investment managers, banks, governments, and other institutional investors both in the United States and worldwide.
For more than a decade, we have leveraged web-based software and world-class client service to help clients such as American Family Insurance, Arch Capital, C.V. Starr & Co., Cisco, Facebook, Oracle, Selective Insurance, Sirius Group, Sompo International, Starbucks, WellCare Health Plans, Wilton Re, and many others, streamline their investment and accounting operations. Clearwater also works with hundreds of custodians, investment managers, dealers/brokers, and electronic trading portals who offer Clearwater to their many clients.
With global headquarters in Boise, Idaho, and offices in Edinburgh, London, New Delhi, New York, and Singapore, Clearwater sets the new global standard for investment portfolio reporting.
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