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Module Lead – Data Bricks
YASH TechnologiesModule Lead developing Azure Databricks and PySpark data solutions for YASH Technologies, a technology integrator driving business transformation. Leading cloud data warehouses, streaming pipelines, and business intelligence solutions while mentoring developers and testers.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing Azure-based data solutions, including data warehouses and analytics, while leading teams and mentoring junior staff. Proficient in coding complex Spark solutions using Scala or Python and managing data wrangling and ETL processes.
Highest-signal resume keywords
Azure Data Solutions DevelopmentSpark Solutions CodingData Warehouse BackgroundETL ExperienceTeam Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AzureSparkScalaPythonSQLETLData WranglingAzure DatabricksPySparkAgile
Soft Skills
CommunicationAnalytical SkillsConflict ResolutionTeam CollaborationMentoring
Tools & Technologies
Azure Data FactoryDevOpsUnity CatalogAzure Event Hubs
Industry Keywords
Cloud Data SolutionsData-as-a-ServiceBusiness IntelligenceReal-Time Streaming DataBig Data Stack
Tech Stack
Tools & technologiesAzureCloudETLPySparkPythonScalaSparkSQLUnity
About the role
Key responsibilities & impact- Work as team lead to develop Cloud Data and Analytics solutions
- Mentor junior developers and testers
- Build strong relationships with the client technical team
- Participate in developing cloud data warehouses, data-as-a-service, and business intelligence solutions
- Perform data wrangling of heterogeneous data
- Code complex Spark solutions using Scala or Python
- Lead the development of Azure-based data solutions
- Collaborate with team members and manage team work, accuracy, and deadlines
- Communicate with appropriate audiences and resolve conflicts while delivering results
Requirements
What you’ll need- 5+ years of overall experience
- Minimum 3+ years of experience in Azure
- At least 3 years of experience as a lead
- Data warehouse background
- Strong ETL experience
- Hands-on experience with Azure Databricks and PySpark
- Hands-on experience with Azure Data Factory, DevOps, and Unity Catalog
- Real-time streaming data experience using Azure
- Strong knowledge of the Big Data stack
- Strong knowledge of Azure Event Hubs, publish-subscribe models, and security
- Strong communication and analytical skills
- High proficiency in SQL development
- Experience working in an Agile environment
- Experience coding complex Spark in Scala or Python
Benefits
Comp & perks- Flexible work arrangements
- Inclusive team environment
- Career-oriented skilling models
- Continuous learning, unlearning, and relearning
- Stable employment
- Great atmosphere and ethical corporate culture
- All support needed for the realization of business goals