Senior Data Engineer

hace 2 semanas


Desde casa, México Unosquare A tiempo completo

We are seeking a **Senior level Data Engineer**to lead the design and implementation of a modern AWS lakehouse for a data rich enterprise.**Requirements**:- **Minimum +6 years** building and operating large scale data platforms and ETL pipelines in production.- **Strong hands on experience** with **AWS** data services including **S3 Glue EMR DMS MWAA Athena and Redshift.**:- Deep working knowledge of **Spark** development in **PySpark** or **Scala**and migration of **Hive HQL to Spark.**:- Practical experience with open table formats such as **Apache Iceberg** or **Delta Lake** and registering tables in **Glue Catalog.**:- Proven experience designing and operating **Airflow DAGs**and integrating Airflow with AWS services.- Strong **SQL** skills and production experience with dbt or equivalent SQL modeling frameworks.- Experience implementing data quality frameworks and profiling, using Deequ Great Expectations or Glue Data Quality.- Familiarity with data lineage and observability practices, and experience with OpenLineage or equivalent integrations.- **Solid understanding of security and compliance**for consumer data including IAM KMS Lake Formation and approaches for audit and deletion requests.- Excellent verbal and written communication skills, including stakeholder interviews and executive level presentations.**We Offer**:- 100% remote job.- Long term job.- Stability.- Carreer path.- English lessons.- Other benefits.Pay: From $50,000.00 per monthApplication Question(s):- Please share your gross salary expectation in MXN**Experience**:- AWS: 4 years (required)- PySpark: 4 years (required)- dbt: 3 years (required)- Airflow: 3 years (required)- hive: 1 year (preferred)**Language**:- English (required)Work Location: Remote


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