Full Job Description
Key job responsibilities
CORE RESPONSIBILITIES: • Be hands-on with ETL to build data pipelines to support automated reporting • 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. • 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 • Participate in strategic & tactical planning discussions
A day in the life
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. Some of the key activities include: Crafting the Data Flow: Design and build data pipelines, the backbone of our data ecosystem. Ensure the integrity of the data journey by implementing robust data quality checks and monitoring processes. Architect for Insights: Translate complex business requirements into efficient data models that optimize data analysis and reporting. Automate data processing tasks to streamline workflows and improve efficiency. Become a data detective! ensuring data availability and performance
BASIC QUALIFICATIONS
- 1+ years of data engineering experience
- 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)
- Experience with one or more scripting language (e.g., Python, KornShell)
PREFERRED QUALIFICATIONS
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 101,300.00 - 160,000.00 USD annually