Senior Data Engineer

July 16

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Keyrus

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#MakeDataMatter #HumanizingTheFuture

Management & Transformation • Data Intelligence • Digital Experience

1001 - 5000

Description

Design, develop, and maintain scalable and efficient data pipelines using Python and SQL. Implement ETL processes for extracting, transforming, and loading data into Snowflake data warehouse. Create and optimize data models, tables, and database structures within Snowflake. Implement database solutions to support analytical and reporting requirements. Develop and maintain ETL processes for integrating data from various sources into Snowflake. Transform and clean data to meet business requirements and ensure data quality. Optimize data pipelines and SQL queries for performance, scalability, and efficiency. Conduct performance tuning and troubleshooting to address bottlenecks. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. Work closely with the IT team to integrate data solutions with existing systems. Implement and support data quality checks and monitoring to ensure the integrity of data. Adhere to data governance and security best practices.

Requirements

Bachelor's or Master's degree in Computer Science, Information Technology, or a related field At least 10 years of relevant experience for the role Proficient in Python programming for data manipulation and scripting. Strong SQL skills for database development and querying. Working Experience on Snowflake Features Streams, Tasks, DAG, Data share, UDF, Time Travel etc. Proficient with Snowflake architecture and warehouse implementation and management Familiarity with cloud platforms (AWS, Azure, GCP) and other data warehousing solutions.

Benefits

Competitive holiday allowance Very comprehensive Private Medical Plan Flexible working patterns Workplace Pension Scheme Sodexo Lifestyle Benefits Discretionary Bonus Scheme Referral Bonus Scheme Training & Development via KLX (Keyrus Learning Experience)