Azure Data Engineer

MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora, and more! More recently, we have expanded to working internationally in Canada, China, Ireland, UK, Brazil, and India. Through our culture of innovation, we inspire, build, and deliver business results, from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry-specific best practices and expertise.

We are excited to be continuously expanding our team. If you are interested in this position, please send over your updated resume. We look forward to hearing from you!

Data Engineer

Location: Any of these locations is OKAY.
Fort Worth, TX 76126

Houston, Texas, 77010,

Cisco, TX 76437

Duration: 6 Months+ Contract to hire role.

• Build, and support the operation of Cloud and On-Premises enterprise data infrastructure and tools
• Work collaboratively with architects and analytics teams
• Design and build robust, reusable, and scalable data pipeline frameworks to automate the ingestion, processing and delivery of both structured and unstructured batch and real-time streaming data
• Build data APIs and data delivery services to support critical operational processes
• Assist in selection and integration of data related tools, frameworks, and applications required to expand platform capabilities
• Understand and implement best practices in management of enterprise data, including master data, reference data, metadata, data quality and lineage
• Lead or participate in developing proof of concepts
• Drive continuous integration and deployment strategies leveraging tools like DevOps
• Perform production support activities
• Be a champion of new ways of collaborating with technology and business partners

Educational and Other Requirements:

• Three or more years of experience with Azure Cloud technologies
• Three or more years of experience in building data lake, cloud data platform leveraging cloud (Azure) cloud native architecture, ETL/ELT, and data integration
• Familiarity in developing distributed data processing and Streaming frameworks and architectures (Apache Spark, Apache Beam, Apache Flink)
• Familiarity with NoSQL database technologies (e.g. MongoDB, BigTable, DynamoDB)
• Four years of experience and expertise in database design techniques and philosophies (e.g. RDBMS, Document, Star Schema, Kimball Model)
• Experience with integration and service frameworks (e.g API Gateways, Apache Camel, Swagger API, Zookeeper, Kafka, messaging tools, microservices)
• Expertise with Microservices and REST based API development
• Attention to detail and results oriented
• Ability to work as part of a team and independently
• Ability to prioritize workload to meet tight deadlines
• Ability to conceptualize the best tactical approach for a team to deliver a project while defining the target state evolution path