Data Engineer, Devices and Services FinTech, DaS FinTech
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Are you a highly skilled data engineer and project leader Do you think big, enjoy complexity and building solutions that scale Are you curious to know what you could achieve in a company that pushes the boundaries of modern technology If you answered yes and you have a background in FinTech you'll love this role and Amazon's data obsessed culture.
Amazon Devices and Services Fintech is the global team that designs and builds the financial planning and analysis tools for wide variety of Amazon's new and established organizations. From Kindle to Ring and even new and exciting companies like Kuiper (our new interstellar satellite play) this team enjoys a wide variety of complex and interesting problem spaces. They are almost like FinTech consultants embedded in Amazon.
This team are looking for a Data Engineer to build and enhance the businesses finance systems with TM1 at its core. You will manage all aspects from requirements gathering, technical design, development, deployment, and integration to solve budgeting, planning, performance management and reporting challenges
Key job responsibilities
Design and implement next generation financial solutions assisted by almost unlimited access to AWS resources including EC2, RDS, Redshift, Stepfunctions, EMR, Lambda and 3rd party software TM1.
Build and deliver high quality data pipelines capable of scaling from running for a single month of data during month end close to 150 and more months when doing restatements.
Continually improve ongoing reporting and analysis processes and infrastructure, automating or simplifying self-service capabilities for customers.
Dive deep to resolve problems at their root, looking for failure patterns and suggesting and implementing fixes or enhancements.
Prepare runbooks, methods of procedures, tutorials, training videos on best practices for global delivery.
Solve unique challenges presented by the massive data volume and diverse data sets working for one of the largest companies in the world
- 3+ years of data engineering experience
- 4+ years of SQL experience
- Experience with data modeling, warehousing and building ETL pipelines
- 5+ years of data engineering experience
- Experience in SQL Server/MySQL, or experience that includes strong analytical skills, attention to detail, and effective communication abilities and experience with programming/scripting (Batch, VB, PowerShell, Java, C#, Chef, Perl, Ruby and/or PHP)
- Experience with big data processing technology (e.g., Hadoop or ApacheSpark), data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environments
- Experience or equivalent experience in finance roles, or experience in forecasting, budgeting, variance analysis, and interpreting financial results
- Bachelor's degree or above
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis)
- Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)
- Experience in any of the following: Python, Java, Perl, PHP, Ruby, Bash, Shell or equivalent
- 4+ years of relevant IBM Cognos TM1/Planning Analytics work including system configuration, model building and developing reports or dashboards with TM1 experience
- Experience with instructional design, curriculum architecture, or training program development
- - Project management, scoping, reporting, and scheduling experience.
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Job ID: 152120653
Skills:
Flume, Spark, Programming Languages, DataFlow, exploratory queries, data pipelines, ETL systems, dimensional data modeling, data infrastructure
Skills:
data pipeline architecture and design principles, Microsoft Azure Databricks, data integration and ETL processes in cloud environments, data storage solutions and data governance best practices
Skills:
BigQuery, Hadoop, Power Bi, Tableau, Dataproc, Sql, ELT, Git, Gcp, Docker, Terraform, Spark, Agile, DataFlow, Kubernetes, Python, Etl, Airflow, Looker, Cloud Composer
Skills:
snowflake , Data Modeling, Kafka, Sql, ELT, Git, Gcp, Streams, Azure, Python, AWS, Etl, Airflow, Tasks, Dynamic Tables, Performance Cost Optimization, CI CD, Snowpark, dbt, Stored Procedures, Fivetran
Skills:
Pyspark, S3, Emr, Redshift, Sql, Apache Airflow, Nosql, Lambda, Docker, Kubernetes, Python, AWS, Glue
