Data Lead

2 weeks ago

Hyderabad, Telangana, India Syllogistics AI Full time

Role:
Azure Data Lead

Experience: 5+ years

Location:
Hyderabad

Position:
Permanent

Job Responsibilities:

  • Technical experience and knowledge in Cloud Data Warehousing, data migration and data transformation
  • Develop and test ETL components to high standards of data quality and performance as a handson development lead.
  • Familiarity with Data Lakes, Data Warehouses, MDM, BI, Dashboards, AI, ML
  • Design data architecture patterns and ecosystems including data stores (operational systems, data lakes, data warehouses, data marts, cosmos db), ingress patterns (API, streaming, ETL/ELT), and egress patterns (analytics/decision tools, BI tools). Lead, consult or oversee multiple architectural engagements.
  • Oversee and contribute to the creation and maintenance of relevant data artifacts (data lineages, source to target mappings, high level designs, interface agreements, etc.) in compliance with enterprise level architecture standards.
  • Experience in leading and delivering data centric projects with concentration on Data Quality and adherence to data standards and best practices.
  • Experience in data modelling, metadata support, development and testing for enterprisewide data solutions.

Must have:

  • Bachelor's degree in a technical field (Comp. Science degree preferred not mandatory)
  • Master's degree is a plus 5+ yrs of experience.
  • Expertise working in Relational and Big Data platforms, including MySQL, and largescale distributed systems such as Hadoop and Spark
  • Expertise in Data Engineering, Data Governance, Data Quality, Data Lake, Data Warehousing and Reporting/Analytics concepts
  • Expertise building Data pipelines, Data Lakes and Data Warehouses in Azure using Cloud services.
  • Expertise in data analysis and writing and developing complex queries using SQL.
  • Experience in designing Big Data/Cloud Solution Designs, data models.
  • Knowledge of Pyspark, Shell scripting, SQL, Python & some of the standard data science packages (Pandas, Numpy, etc.).
  • Strong verbal and business communication skills.
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