Tech Lead TECHM-JOB-24550

Keylent, Inc.

$120K — $150K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's Degree in Computer Science, Engineering, IT, Mathematics, or a related field preferred
  • 8 to 10 years in a Data Engineering role
  • Strong expertise in cloud-based Data Science and Engineering
  • Proficient in SQL, Azure services, and automation tools
  • Experience with SAFe Agile and other modern methodologies

Responsibilities

  • Design and develop modern cloud data platforms
  • Implement scalable data analytics solutions using Azure Databricks
  • Optimize data modeling techniques and engineering practices
  • Deploy Azure resources using Azure ARM Templates
  • Analyze complex data issues and provide solutions in big data environments

Benefits

  • Flexible remote work option available
  • Opportunity to work in a cutting-edge cloud environment
  • Collaboration with global, distributed teams
  • Growth opportunities in big data engineering
  • Involvement in innovative technology projects
Full Job Description
Tech Lead TECHM-JOB-24550
Position :- DataBricks Architect
Full Time
Location :- Alphareta GA (Onsite is preferred)/Remote is also ok
Your key responsibilities

Extensive experience in designing and developing modern cloud data platforms
Complex coding with SQL, Spark, Python, T-SQL
Hands-on experience in Azure stack (Azure Data Lake, Azure Data Factory & Databricks) -- Mandatory
Strong expertise in ETL tools i.e. (Talend, SSIS, Informatica)
Deep understanding of Azure Databricks platform and can build data analytics solutions to support the required performance & scale
Expertise to Implementing Data warehousing Solutions
Experience as Data Engineer in Azure Big Data Environment
Programming experience in Scala or Python, SQL
Good understanding of other Azure services like Azure Data Lake Analytics & U-SQL, Azure SQL DW
Demonstrated analytical and problem-solving skills, particularly those that apply to a big data environment
Good Understanding of Lambda Architecture, Data warehousing concepts
Good experience in data engineering , designing and optimising data modelling techniques
Proficient in a source code control system such as GIT
Deploy the various Azure resources into the environments through Azure ARM Templates
To qualify for the role you must have
Bachelor's Degree in Computer Science, Engineering, IT, Mathematics, or related field preferred
At least 8 to 10 years in a Data engineering role
Demonstrate excellent Data Science , Data engineering & automation skills in the context of cloud based global platform/product delivery using continuous integration (CI) and continuous deployment (CD)
Experience with MS SQL, , Azure Data Factory, Docker, Containerization tools
Experience with multi-geo, multi-tier service design and operations
Delivery using modern methodologies especially SAFe Agile, Iterative, Waterfall, etc
Communicate fluently in English, both written and verbal
Excellent interpersonal communication and organizational skills to contribute as a leading member of global, distributed teams passionate about delivering quality services and solutions
Able to distil complex technical challenges to measurable and explainable decisions
Demonstrate ability to learn new and emerging technologies with ability to rapidly define engineering standards and produce automation code
Operational abilities including early life support and driving root cause analysis and remediation

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