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In this role, you will lead Data Engineering efforts to drive automation for Amazon Pay organization.
You will be part of the data engineering team that will envision, build and deliver high-performance, and fault-tolerant data pipeliens. As a Data Engineer, you will be working with cross-functional partners from Science, Product, SDEs, Operations and leadership to translate raw data into actionable insights for stakeholders, empowering them to make data-driven decisions.
Key job responsibilities
. Design, implement, and support a platform providing ad-hoc access to large data sets
. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources
. Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL, Redshift, and OLAP technologies
. Model data and metadata for ad-hoc and pre-built reporting
. Interface with business customers, gathering requirements and delivering complete reporting solutions
. Build robust and scalable data integration (ETL) pipelines using SQL, Python and Spark.
. Build and deliver high quality data sets to support business analyst, data scientists, and customer reporting needs.
. Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
- 1+ years of data engineering experience
- Experience with SQL
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Bachelor's degree
- Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets
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Job ID: 152490257
Skills:
Apache Airflow, Git, Terraform, Spark, Python, Google Cloud Ecosystem, Google Cloud Services, Data Pipeline Development, Cloud Composer, Data Platform Management, Data Layer Design, dbt
Skills:
containerization , Java, Scala, Jenkins, Bitbucket, Ansible, AWS CloudFormation, Gitlab, Nexus, Databricks, Python, Kubernetes, Infrastructure automation, Chef, DevOps tooling, AWS Architecture or Engineering certification
Skills:
Java, Apache Beam, DataFlow, Python, Sql, Big Query, Cloud Spanner, Cloud Composer, dbt, Data Flow, GCS
Skills:
Java, Machine Learning, Scala, Elasticsearch, Apache Spark, Spring Boot, Apache Beam, Python, Airflow, Streaming Data Processing, Data Processing
Skills:
Azure Data Factory, Pyspark, Sql, Delta Live Tables, Data Bricks