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Senior Data Engineer
1 month ago
About Amtex Systems Inc. :
Amtex Systems Inc., a global technology innovator with 25+ years of expertise, specializes in Software Development, IT Consulting, Digital Media, Business Intelligence, Mobile Applications, and Content Management. We're at the forefront of industry evolution, catering to diverse sectors, including Technology, Finance, Media, Fashion, Retail, and the Public Sector.
We're seeking a dynamic professional who can help us create a better world.
Key Responsibilities:
- Design and develop data solutions leveraging cloud big data technology to ingest, process, and analyze large, disparate data sets.
- Develop systems that ingest, cleanse, and normalize diverse datasets, develop data pipelines from various internal and external sources, and build structure for previously unstructured data.
- Collaborate with internal colleagues and external professionals to determine requirements, anticipate future needs, and identify areas of opportunity to drive data development.
- Develop a good understanding of how data will flow and be stored through an organization across multiple applications.
- Unify, enrich, and analyze various data to derive insights and opportunities.
- Design and develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases, and enhance data processing capabilities.
- Develop POCs to influence platform architects, product managers, and software engineers to validate solution proposals and migrate.
- Develop data lake solutions to store structured and unstructured data from internal and external sources and provide technical guidance to help migrate colleagues to modern technology platforms.
- Contribute to and adhere to CI/CD processes, development best practices, and strengthen the discipline in the Data Engineering Org.
- Mentor other members in the team and organization and contribute to the organization's growth.
Requirements:
- 6+ years' work experience and a bachelor's degree in information science, computer science, mathematics, statistics, or a quantitative discipline in science, business, or social science.
- A hands-on engineer who is curious about technology, should be able to quickly adapt to change, and one who understands the technologies supporting areas such as Cloud Computing, Micro Services, Streaming Technologies, Network, Security, etc.
- 3 or more years of active development experience as a data developer using Python-spark, Spark Streaming, Azure SQL Server, Cosmos DB/Mongo DB, Azure Event Hubs, Azure Data Lake Storage, Azure Search, etc.
- Design and develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases, and enhance data processing capabilities.
- Build, test, and enhance data curation pipelines integration data from a wide variety of sources like DBMS, File systems, APIs, and streaming systems for various KPIs and metrics development with high data quality and integrity.
- Maintain the health and monitoring of assigned data engineering capabilities that span analytic functions by triaging maintenance issues, ensure high availability of the platform, monitor workload demands, work with Infrastructure Engineering teams to maintain the data platform, serve as an SME of one or more application.
- A team player, reliable, self-motivated, and self-disciplined individual capable of executing on multiple projects simultaneously within a fast-paced environment working with cross-functional teams.
- 3+ years of experience working with source code control systems and Continuous Integration/Continuous Deployment tools.
- An independent and able to manage, prioritize, and lead workload.
