Senior Data Engineer (Big Data + Full Stack exposure)

New
S
ScalepexAdTech or digital media
MexicoContractSenior
Salary not disclosed
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Job Details

Experience
3–7 years of experience
Required Skills
AWSPythonHadoopJavaMySQLTableauAirflowAngularNosqlSparkLinuxScalaDatabricksGitHub Actions

Requirements

  • 3–7 years of experience in data engineering or software development at an enterprise level
  • Strong hands-on experience with Apache Spark (Scala)
  • Strong hands-on experience with Python
  • Strong hands-on experience with MySQL and relational databases
  • Experience with columnar storage formats (e.g., Apache Parquet)
  • Experience with AWS ecosystem, including data lake architectures
  • Familiarity with Airflow for orchestration
  • Familiarity with Databricks
  • Familiarity with CI/CD pipelines (e.g., GitHub Actions)
  • Strong understanding of data modeling, storage, and access patterns
  • Experience building highly scalable, high-volume data systems
  • Solid understanding of ETL processes and data integration layers
  • Experience with Java (Preferred)
  • Experience with Angular or Play Framework (Preferred)
  • Experience with Tableau or other BI tools (Preferred)
  • Experience with Aerospike or NoSQL databases (Preferred)
  • Knowledge of Hadoop ecosystem and EMR management (Preferred)
  • Experience working in AdTech or digital media environments (Preferred)
  • Familiarity with Linux systems (Preferred)

Responsibilities

  • Understand the business need and design the data pipelines
  • Translate data into business insights, data cleansing and ETL
  • Gather requirements from vested teams to build features
  • Understand the priorities and ensures the deliverables stick to the timeline and complete projects on time
  • Design, build, and scale robust data pipelines and analytics solutions
  • Work across the full data lifecycle—from ingestion and transformation to modeling and delivery—while contributing to architectural decisions and best practices
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