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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