IFBIT team vision is to simplify and automate processes, drive data-led decision making and provide meaningful insights for enhanced financial and business performance. We aim to cultivate a culture of innovation and collaboration, build and evangelize data analytics capabilities, develop scalable products that reduce manual efforts, improve efficiency and enhance controllership. By doing this, we contribute to improving AWS financial performance in a sustainable manner. Our focus on scalability, agility, and customer-centric products also aligns with the goal of maximizing long-term value for our customers and the company.
- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- 5+ years of SQL experience
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets
- Bachelor's degree or foreign equivalent in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
- 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)
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
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