Snowflake Sr. Data Engineer

HCL Technologies - Dallas, TX

Full-time - Mid Level

Dallas, TX

Professional, Scientific, and Technical Services

About the position

We are looking for a Senior Data Engineer with a strong background in data engineering, particularly in the telecom industry. The role involves designing and maintaining scalable data pipelines and ETL processes, working with large datasets, and collaborating with cross-functional teams to support data-driven decisions and telecom operations.

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 for fraud analysis.
• Design efficient, reusable queries to support relational data exploration within the Graph DB, enabling fraud detection and pattern recognition.
• Analyze graph extracts to ensure alignment to use case requirements.
• Conduct exploratory data analysis for all 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 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.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3-5 years in data engineering, with a focus on telecom or similar data-intensive domains.
• Proficiency in SQL and experience with data warehouses (e.g., Snowflake, Redshift, BigQuery).
• Strong experience in programming languages like Python and Scala for data processing.
• Familiarity with big data frameworks such as Apache Spark, Hadoop, or similar.
• Knowledge of ETL tools (e.g., Informatica, Talend, Apache NiFi) is preferable.
• Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud (GCP) for data solutions is preferable.
• Understanding of telecom-specific data sources and structures (e.g., call data records, network KPIs) is an advantage.
• Strong experience with data integration, data modeling, and data governance.
• Excellent analytical skills with keen attention to detail.
• Ability to convey complex technical information effectively to stakeholders.

Nice-to-haves

• Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Knowledge of telecom protocols, standards, and metrics is a strong advantage.
• Certification in cloud technologies or data engineering (e.g., AWS Certified Data Analytics, Google Professional Data Engineer) is a plus.