What are the responsibilities and job description for the Snowflake Sr Data Engineer position at Damco Solutions?
Location : Atlanta, GA or Dallas, TX (day1 onsite / Hybrid)
Job Description (Posting). : We are seeking a talented Data Engineer with 3 years of experience to join our team in the telecom industry. The ideal candidate will have a strong background in data engineering, with specific experience in telecom data processing, ETL development, and data pipeline optimization. You will work closely with our data scientists and business analysts to help drive data-driven decisions and support our telecom operations.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL processes for telecom data.
- Work with large datasets from telecom operations, including call records, network performance metrics, and customer usage data.
- Develop and maintain efficient data processing architectures to support real-time data ingestion and transformation.
- Develop and maintain an ontology model to represent relationships between telecom entities (e.g., accounts, devices, transactions) for fraud analysis.
- Design efficient, reusable queries to support relational data exploration within the Graph DB, enabling fraud detection and pattern recognition.
- nalysis of the graph extracts to ensure alignment to use case requirements.
- Exploratory data analysis for all the data sources to meet use case requirements
- Optimize data storage and retrieval mechanisms to support data analytics and reporting needs.
- Collaborate with cross-functional teams (data science, product, and engineering) to understand data requirements and deliver solutions.
- Ensure data quality and integrity through robust monitoring, validation, and troubleshooting practices.
- Implement and manage data security practices, including encryption and access control, in compliance with telecom industry standards.
Required Skills & Qualifications
Proficiency in SQL and experience with data warehouses (e.g., Snowflake, Redshift, BigQuery).
Preferred Qualifications
Certification in cloud technologies or data engineering (e.g., AWS Certified Data Analytics, Google Professional Data Engineer) is a plus.
