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Senior Data Analytics Developer
2 weeks ago
We are seeking a talented and experienced Data Analytics Developer to join our team. You will play a key role in designing, developing, and maintaining our next-generation data analytics platform. This involves building scalable and efficient data pipelines, optimizing query performance, and implementing robust solutions to enable real-time and historical data analysis for business stakeholders.
Your expertise will be crucial in leveraging modern data lake architecture principles with tools like OLAP, Apache Druid, Starburst (Trino), Impala, and Apache Iceberg. You will work closely with data scientists, data engineers, and business analysts to translate complex data requirements into technical solutions that drive business intelligence and operational efficiency.
Responsibilities:
- Design, develop, and maintain data ingestion and processing pipelines to move large volumes of data from various sources into the data platform.
- Utilize Apache Druid to build high-performance, real-time analytics solutions, focusing on data ingestion, indexing, and query optimization.
- Leverage Starburst (Trino) to implement a data mesh architecture and enable query federation across different data sources, including data warehouses, data lakes, and other systems.
- Develop and optimize analytical queries and reporting views using SQL within Impala for high-performance interactive and batch queries on large datasets.
- Implement and manage datasets using Apache Iceberg, ensuring features like schema evolution, partitioning, and time-travel are leveraged for robust and reliable data lake operations.
- Apply OLAP (Online Analytical Processing) techniques and tooling to design and develop multidimensional data models (cubes) for fast and efficient analysis.
- Collaborate with data architects and business intelligence teams to create and maintain optimal data models and data warehouse structures.
- Troubleshoot and resolve performance issues, data processing bottlenecks, and data quality problems within the data analytics ecosystem.
- Maintain comprehensive documentation for all data processes, architectures, and data flows.
Qualifications:
- 5-8 years of relevant experience
- Proven hands-on experience in a data engineering or analytics developer role.
- Strong expertise with SQL and experience with various data analytical tools.
- Deep experience with Apache Druid, including cluster management, data ingestion, and query optimization.
- Hands-on experience with Starburst (Trino), including query federation and performance tuning across data sources.
- Solid understanding and experience with Apache Impala for fast, interactive SQL queries on Hadoop or cloud data storage.
- Strong expertise with Apache Iceberg, including implementation for data lake architectures, schema evolution, and partitioning.
- Experience with OLAP cube development, including knowledge of multidimensional expressions (MDX) and best practices.
- Proficiency in one or more of Java, Python or PySpark for data processing and pipeline development is desirable.
- Experience with cloud platforms such as AWS, GCP, or Azure is a plus.
- Excellent problem-solving, communication, and collaboration skills.
Education:
- Bachelor's degree/University degree or equivalent experience
- Bachelor's degree in Computer Science, Data Engineering, or a related field.
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Job Family Group:
Technology
Job Family:
Applications Development
Time Type:
Full time
Primary Location Full Time Salary Range:
$94, $141,500.00
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
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