Data Solutions Architect

Are you passionate about data and innovation? Join our team as a Data Solutions Architect and lead our data transformation journey!

Responsibilities:

• Design & Deliver: Implement ETL/ELT processes, batch and real-time stream processing solutions, and optimize data schemas.
• Data Lakes: Develop Data Lakes using cloud tools or platforms like Snowflake and Databricks.
• AI Solutions: Engineer AI-driven solutions for NLP, speech/video recognition, anomaly detection, chatbots, etc.
• End-to-End Solutions: Build data solutions covering ingestion pipelines, cataloging, analysis, and insight sharing.
• Migrations: Lead migrations of relational databases, NoSQL databases, and Data Warehouses.
• AI/ML Models: Design, build, and optimize AI/ML models.
• MLOps: Integrate MLOps solutions for model lifecycle automation.

Requirements:

• Experience: 3+ years in public cloud (AWS preferred) and coding in Python, Java, or Scala.
• Technical Skills: Expertise in data engineering pipelines, ETL/ELT, and batch/real-time processing.
• Database Knowledge: Experience with relational databases (Oracle, SQL Server, MySQL, Postgres, MariaDB) and NoSQL databases (MongoDB, Cassandra, ElasticSearch, Neo4j, DynamoDB).
• Data Warehousing: Proficient in building Data Warehouses and Data Lakes.
• Innovative Mindset: Passion for AI-based solutions and cutting-edge technologies.

Why Join Us?

Innovative Environment: Embrace creativity and innovation.

Growth Opportunities: Advance your career with ongoing learning.

Impactful Work: Contribute to projects with significant business impact.

Ready to shape the future of data solutions? Apply now

Hybrid position