Data Warehouse and Reporting Engineer
Position Overview:
We are seeking a skilled and motivated Data Warehouse and Reporting Engineer to join our team.
The ideal candidate has extensive experience working with databases such as PostgreSQL and MySQL, proficient in Python scripting, possesses expertise in ETL (Extract, Transform, Load) processes, and is well-versed in designing and maintaining data lakes and data warehouses.
This role requires a strong foundation in data architecture, data modeling, and reporting to ensure our data infrastructure supports efficient analytics and reporting operations.
Qualifications:
Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience).
Proven experience (5-7 years) as a Data Warehouse Engineer, ETL Developer, or similar role.
Strong proficiency in PostgreSQL, MySQL, and other relational databases is must.
Expertise in designing and optimizing data warehouse solutions.
Proficiency in ETL tools and processes.
Experience with data lake architecture and management.
Advanced knowledge of Python programming for data manipulation and automation.
Familiarity with reporting and analytics tools such as Tableau, Power BI, or similar.
Strong problem-solving skills and the ability to work in a collaborative team environment.
Excellent communication skills to interact with technical and non-technical stakeholders.
Preferred:
Experience with cloud platforms (e.
g.
, AWS, Azure, Google Cloud Platform) and their data services.
Knowledge of data governance, security, and compliance best practices.
Familiarity with data streaming technologies (e.
g.
, Kafka, Spark Streaming).
Certification in relevant areas (e.
g.
, AWS Certified Data Analytics, Google Cloud Professional Data Engineer).
Recommended Skills Apache Kafka Architecture Automation Data Analysis Data Lake Data Modeling Estimated Salary: $20 to $28 per hour based on qualifications.
We are seeking a skilled and motivated Data Warehouse and Reporting Engineer to join our team.
The ideal candidate has extensive experience working with databases such as PostgreSQL and MySQL, proficient in Python scripting, possesses expertise in ETL (Extract, Transform, Load) processes, and is well-versed in designing and maintaining data lakes and data warehouses.
This role requires a strong foundation in data architecture, data modeling, and reporting to ensure our data infrastructure supports efficient analytics and reporting operations.
Qualifications:
Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience).
Proven experience (5-7 years) as a Data Warehouse Engineer, ETL Developer, or similar role.
Strong proficiency in PostgreSQL, MySQL, and other relational databases is must.
Expertise in designing and optimizing data warehouse solutions.
Proficiency in ETL tools and processes.
Experience with data lake architecture and management.
Advanced knowledge of Python programming for data manipulation and automation.
Familiarity with reporting and analytics tools such as Tableau, Power BI, or similar.
Strong problem-solving skills and the ability to work in a collaborative team environment.
Excellent communication skills to interact with technical and non-technical stakeholders.
Preferred:
Experience with cloud platforms (e.
g.
, AWS, Azure, Google Cloud Platform) and their data services.
Knowledge of data governance, security, and compliance best practices.
Familiarity with data streaming technologies (e.
g.
, Kafka, Spark Streaming).
Certification in relevant areas (e.
g.
, AWS Certified Data Analytics, Google Cloud Professional Data Engineer).
Recommended Skills Apache Kafka Architecture Automation Data Analysis Data Lake Data Modeling Estimated Salary: $20 to $28 per hour based on qualifications.
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