Data Science Platform Architect

4 days ago

Bengaluru, Karnataka, India beBeeArchitect Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
About the Role

We are seeking a seasoned Data Science Platform Architect to lead our mission of disrupting the status quo, accelerating time-to-market, and optimizing customer experiences.

The ideal candidate will have thorough experience in executing ML and DS solutions, managing and collaborating with a team of data engineers, data scientists, and software engineers.

  • Design and Develop Modern Data Warehouse solutions using Databricks and AWS/Azure Stack
  • Collaborate with DW/BI leads to understand new ETL pipeline development requirements
  • Triage issues to find gaps in existing pipelines and fix the issues
  • Work with business to understand reporting layer needs and develop data models to fulfill those needs
  • Help junior team members resolve issues and technical challenges
  • Drive technical discussions with client architects and team members
  • Orchestrate data pipelines in scheduler via Airflow
Requirements:
  • Bachelor's and/or master's degree in computer science or equivalent experience
  • 10+ years of IT experience and 4+ years' experience in Data warehouse/ETL projects
  • Deep understanding of Star and Snowflake dimensional modeling
  • Strong knowledge of Data Management principles
  • Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture
  • Hands-on experience in SQL, Python, and Spark (PySpark)
  • Experience in AWS/Azure stack
  • Desirable to have ETL with batch and streaming (Kinesis)
  • Experience in building ETL/data warehouse transformation processes
  • Experience with streaming data/event-based data
  • Experience with other Open-Source big data products Hadoop (incl. Hive, Pig, Impala)
  • Experience with Open Source non-relational/NoSQL data repositories (incl. MongoDB, Cassandra, Neo4J)
  • Experience working with structured and unstructured data including imaging & geospatial data
  • Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning, and troubleshoot
  • Databricks Certified Data Engineer Associate/Professional Certification (desirable)
  • Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects
  • Experience working in Agile methodology
  • Strong verbal and written communication skills
  • Strong analytical and problem-solving skills with a high attention to detail
About Tredence

Tredence is a global analytics services and solutions company that excels in attracting top talent in data analytics and data science. Our capabilities range from data visualization, data management to advanced analytics, big data, and machine learning.

We build big data solutions on-premises, GCP, or Azure cloud. We also leverage strong IP and pre-built analytics solutions in data mining, BI, and Big Data.

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