Databricks Engineer

Position : Databricks Engineer

Location : San Francisco, CA

• Day 1 Onsite

Duration : 1 Years

As a Databricks Engineer at HCLTech, you will play a pivotal role in crafting and optimizing Microsoft Azure solutions to meet dynamic client needs. This position offers the opportunity to leverage your expertise in Azure technologies to drive impactful projects that align with the company's strategic objectives. Your work will significantly contribute to enhancing data-driven decision-making and operational efficiency across diverse business units.

DETAILED RESPONSIBILITIES :

SKILL REQUIREMENTS :

OTHER REQUIREMENTS (OPTIONAL) :

Skill or Category

Mandatory / Non-Mandatory

Evaluation Focus

Minimum Rating Scale (0-5)

Microsoft Azure Stack

Mandatory

Evaluate technical proficiency in T-SQL, SSIS, SSAS, and SSRS

Azure Data Factory

Mandatory

Assess ability to construct robust ADF pipelines for data ingestion and transformation

Azure Databricks

Mandatory

Experience in ingesting and integrating data into the Azure Analytics Platform

Azure Synapse Analytics

Mandatory

Capability to optimize Azure solutions for enhanced decision-making

Azure DevOps

Mandatory

Evaluate experience in using Azure DevOps for project deliverables

Azure Storage / Data Lake

Mandatory

Proficiency in managing data storage solutions

ETL Processes

Mandatory

Experience with ETL processes and report development

Relational Databases and SQL

Mandatory

Proficiency in relational databases and SQL language

Python Scripting and Spark APIs

Non-Mandatory

Assess experience with Python scripting and Spark APIs

Client-Facing Experience

Non-Mandatory

Evaluate previous client engagement experience

Agile Development Methodologies

Non-Mandatory

Familiarity with agile development practices

Bachelor's Degree

Mandatory

Possession of a degree in Computer Science, Information Technology, or related field