ETL Developer
We are seeking an experienced Data Engineer with 6 years of relevant experience to join our dynamic team. You will have the opportunity to build efficient data products and data pipelines by integrating DevOps principles and operations of product build and releases.
Key Responsibilities
Design develop and implement scalable processes to extract transform and load data from various sources into data warehouses
Collaborate with cross functional teams including Product Owners Business Analysts and CriticalOps teams to ensure seamless data integration and reliability
Monitor and optimize data pipelines troubleshoot and resolve any issues that may arise during data processing
Manage and fine tune SQL queries and procedures to achieve optimal performance and scalability
Provide detailed analysis and documentation of processes and flows where necessary
Stay updated with industry best practices and emerging technologies in data engineering ETL and DevOps
Data product focus with emphasis on data and process awareness
Qualifications
Six years of work experience with SQL warehousing and building ETL pipelines
Proficient in working with column level databases such as Redshift Cassandra and BigQuery
Strong SQL knowledge to write complex queries for data extraction transformation and reporting
Ability to identify areas for performance enhancements in existing SQL code and pipelines
Knowledge of database design principles data modeling and the ability to translate business requirements into database structures
Good to Have reprioritise from most needed to least needed
Proficient in Python scripting to implement ETL logic
Experience with Databricks Snowflake Spark and Data Lake
Experience with reporting tools such as Power BI
We are seeking an experienced Data Engineer with 6 years of relevant experience to join our dynamic team. You will have the opportunity to build efficient data products and data pipelines by integrating DevOps principles and operations of product build and releases.
Key Responsibilities
Design develop and implement scalable processes to extract transform and load data from various sources into data warehouses
Collaborate with cross functional teams including Product Owners Business Analysts and CriticalOps teams to ensure seamless data integration and reliability
Monitor and optimize data pipelines troubleshoot and resolve any issues that may arise during data processing
Manage and fine tune SQL queries and procedures to achieve optimal performance and scalability
Provide detailed analysis and documentation of processes and flows where necessary
Stay updated with industry best practices and emerging technologies in data engineering ETL and DevOps
Data product focus with emphasis on data and process awareness
Qualifications
Six years of work experience with SQL warehousing and building ETL pipelines
Proficient in working with column level databases such as Redshift Cassandra and BigQuery
Strong SQL knowledge to write complex queries for data extraction transformation and reporting
Ability to identify areas for performance enhancements in existing SQL code and pipelines
Knowledge of database design principles data modeling and the ability to translate business requirements into database structures
Good to Have reprioritise from most needed to least needed
Proficient in Python scripting to implement ETL logic
Experience with Databricks Snowflake Spark and Data Lake
Experience with reporting tools such as Power BI