DATA TEAM LEAD SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Updated: Mai 21, 2025 - The Data Team Lead has proven experience coaching a team to address both technical and personal challenges, fostering a collaborative environment. This role requires expertise in designing and managing data pipelines within a Big Data ecosystem on the Google Cloud Platform, leveraging tools like Data Flow and Data Fusion. The team lead also has strong software development skills in Java, Scala, and Python, combined with extensive experience in the Hadoop ecosystem, Agile practices, and SQL, particularly with BigQuery.

Essential Hard and Soft Skills for a Standout Data Team Lead Resume
  • Data Analysis
  • Database Management
  • SQL
  • Data Visualization
  • Statistical Modeling
  • Data Mining
  • Machine Learning
  • ETL Processes
  • Cloud Computing
  • Programming
  • Leadership
  • Communication
  • Problem-Solving
  • Collaboration
  • Critical Thinking
  • Time Management
  • Adaptability
  • Decision Making
  • Conflict Resolution
  • Empathy

Summary of Data Team Lead Knowledge and Qualifications on Resume

1. BS in Computer Science with 6 years of Experience

  • Experience working in Java and/or Scala
  • Proficiency with Hadoop ecosystem services such as MapReduce v2, HDFS, YARN, Hive, HBase
  • Experience with building stream-processing systems using solutions such as Apache Kafka and Apache Spark streaming
  • Experience with designing, implementing, and deploying in cluster data pipelines using Apache Spark framework (RDD, Dataframe, Streaming)
  • Experience with integrating data from multiple heterogeneous sources and various formats (CSV, XML, JSON, Avro, Parquet)
  • Experience with SQL databases and NoSQL databases, such as Elasticsearch and MongoDB
  • Proficient understanding of microservices architecture and distributed systems
  • Experience with the Hadoop ecosystem on-premise or on-cloud
  • Hands-on experience with Docker, Kubernetes
  • Strong communication and organizational skills

2. BS in Data Science with 5 years of Experience

  • Data Centre experience and knowledge
  • Experienced in ITIL, ISO 27001 standards implementation
  • Customer focus with good communication and interpersonal skills.
  • Leadership skills and ability to manage and supervise the project team.
  • Good project management skills and problem-solving skills.
  • Good presentation skills and motivation ability.
  • Enjoy learning and high capacity to learn, and be able to work under stress.
  • Computer knowledge, familiar with Microsoft Office (Word, Excel, PowerPoint, Outlook, etc.
  • Experience in Disaster Recovery Management, Service Level Management and ITIL processes.
  • Basic Network, Systems, Backup and Facilities skills

3. BS in Management Information Systems with 8 years of Experience

  • Experience as a Data Architect or Data Engineer with experience leading teams
  • Strong knowledge of current industry-wide Data Engineering and DS/ML practices tools and techniques
  • Experience with Azure Cloud, Data Factory, Kafka, Databicks, PySpark, Delta Lake, SQL Server, MongoDB, ElasticSearch
  • Experience with classification and recommendation algorithms and ML models
  • Experience with classifiers like KNN and filtering algorithms Matrix Factorization
  • Experience with disambiguation and clusterization of Data obtained from different sources
  • Experience with Web scraping as a data source for ETLs
  • Experience with the Transformation of ETL pipelines into real-time-like processes incorporating stream data via Kafka
  • Experience with Leverage Delta Lake capabilities to implement persistent IDs for our Entities
  • A natural leader who is proactive with excellent verbal and written communication skills in English
  • Comfortable handling uncertainty in evolving scenarios who can understand priorities and balance them
  • Familiarity with the Agile framework

4. BS in Information Technology with 7 years of Experience

  • Proven experience as a team player, being able to coach the squad to solve not only technical issues but also personal as well.
  • Expert-level experience in designing, building and managing data pipelines to process large amounts of data in a Big Data ecosystem
  • Expert-level experience in building batch and real-time data pipelines and data layers on the Google Cloud Platform.
  • Experience with common SDLC, including SCM, build tools, unit testing, TDD/BDD, continuous delivery and Agile practices, EDW or Data Warehouse solutions
  • Expert experience in Google Cloud Platform using Data Flow and if possible Data Fusion
  • Expert-level experience with the Hadoop ecosystem (Spark, Hive/Impala, HBase, Yarn)
  • Strong software development experience in Java, Scala and Python programming languages, as well other functional languages
  • Experience with Unix-based systems, including bash programming
  • Experience with columnar data formats, other distributed technologies
  • SQL preferably knowledge of Big Query
  • Experience working in an Agile environment
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