Technical Architect-Data Analytics

Responsibilities

• Work closely with business stakeholders and other IT teams to understand requirements and define the scope for engagement with reasonable timeline.
• Ensure proper documentation of architecture processes while ensuring compliance with security and governance standards.
• Ensure best practices are followed by team in terms of code quality, data security and scalability.
• Stay updated with the latest developments in Databricks and associated technologies to drive innovation.
• Positive attitude and excellent communication skills to manage customer calls.
• Excellent problem solving skills, good communication, team collaboration.

Overall 12 years of experience along with 5 years of data analytics project experience.

Experience with Azure Databricks notebook development and Delta Lake.

Good understanding of Azure services like Azure Data Lake, Azure Synapse, Azure Data Factory, Fabric.

Experience with ETL/ELT processes, data warehousing and building data lakes.

SQL skills and familiarity with No

SQL databases.

Experience with CICD pipelines and version control systems like Git.

Excellent communication skills with the ability to explain complex technical concepts to nontechnical stakeholders.

Strong problem solving skills and a proactive approach to identifying and resolving issues.

Leadership skills with the ability to manage and mentor a team of data engineers.

• Power BI for dashboarding and reporting.
• Microsoft Fabric for analytics and integration tasks.
• Spark Streaming for processing real time data streams.

• Over 12 years of IT experience including 4 years specializing in developing data ingestion and transformation pipelines using Databricks/Synapse notebooks and Azure Data Factory.
• Good understanding on different domain industries with respect to data analytics project DWH projects.
• Should be good in Excel and Power Point.
• Good understanding and experience with Delta tables, Delta Lake and Azure Data Lake Storage Gen
  2.
• Experience in building and optimizing query layers using Databricks SQL.
• Familiarity with modern CICD practices especially in the context of Databricks and cloud-native solutions.

ETHEREUM TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ETHEREUM TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters.

Nor will ETHEREUM TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.