Data Analytics Engineer
Data Analytics Engineer
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1 Vacancy
Job Description
This is a remote position.
- Analyzes complex customer data to determine integration needs.
- Develops and tests scalable data integration/transformation pipelines using PySpark SparkSQL and Python.
- Contributes to the codebase through coding reviews validation and complex transformation logic.
- Automates and maintains data validation and quality checks.
- Collaborates with FPA data engineers and developers to align solutions with financial reporting and business objectives.
- Participates in solution architecture and technical discussions refining user stories and acceptance criteria.
- Utilizes modern data formats/platforms (Parquet Delta Lake S3/Blob Storage Databricks).
- Partners with the product team to ensure accurate customer data reflection and provide feedback based on data insights.
- A Data Analytics Engineer with 5 years of experience.
- Must have strong Python PySpark Notebook and SQL coding skills especially with Databricks and Delta Lake.
- Proven ability to build and deploy scalable ETL pipelines to cloud production environments using CI/CD.
- Experience with Agile/Scrum data quality concepts and excellent communication is essential.
- Cloud environment (Azure AWS) and Infrastructure as Code (Terraform Pulumi) experience beneficial.
- Telecoms industry or consulting experience plus accounting knowledge is a plus.
- J106998
Requirements
Data Analytics Engineer, PySpark, Python, SQL, Databricks, ETL, CI/CD, Cloud, Azure, AWS
Employment Type
Full Time
