Data Engineering Lead

6 days ago


Dallas, Texas, United States Damco Solutions Full time

Job Title: Data Engineering Lead - Scalable Data Pipelines

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About the Role:

">We are seeking a seasoned Data Engineering Lead to oversee the design, development, and maintenance of scalable data pipelines and ETL processes for telecom data. As a key member of our data engineering group, you will work closely with our data scientists and business analysts to help drive data-driven decisions and support our telecom operations.

Key Responsibilities:

  • ">
  • ">Lead the design and development of 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.">
  • ">Analysis 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.">

Requirements:

  • ">
  • ">Bachelor's degree in Computer Science, Engineering, or a related field.">
  • ">5-7 years in data engineering, with a focus on telecom or similar data-intensive domains.">
  • ">Technical Skills:
    • ">
    • ">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 advantageous.">
    ">
  • ">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.">

Estimated Salary: $150,000 - $220,000 per annum, depending on location and experience.



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