Role overview

Qualifications

Proven experience developing AI/BI dashboards using Databricks
Proficiency in SQL, Python, and Spark for data engineering tasks
Knowledge of data pipeline design, implementation, and maintenance
Ability to work both independently and collaboratively across teams

Responsibilities

Develop and enhance AI/BI dashboards on the Databricks platform
Design and implement data visualization solutions to support BI reporting
Perform data engineering tasks, including creating, maintaining, and optimizing pipelines
Improve existing ETL processes for scalability and efficiency

Key facts

Remote from: California (USA), Illinois (USA)
Full time
Software Engineer
English

Hard skills

Databricks SQL (Programming Language) Python (Programming Language) Data Engineering Data Visualization

Other skills

Collaboration
Analytical Skills
Problem Solving

About the company

MDA Edge

Our objective is to establish an exceptional ecosystem by connecting individuals, technology, and prospects through the application of human intelligence.MDA Edge is a process-oriented company and our expertise lies in providing comprehensive Workforce Solutions, specifically focusing on Contingent Staffing, Bulk/Project Staffing, RPO/KPO/BPO, and Direct Hire services. We cater to a wide range of industries, including Infrastructure Consulting, Engineering Consulting, IT Consulting, Healthcare, Life Sciences, Pharmaceutical Consulting, Consumer Goods, Education, Transportation & Logistics, Media & Entertainment, Telecom, BFSI, Manufacturing, Utilities & Energies, and Corporate Recruitment. Moreover, we have developed a dedicated focus on Government Consulting.Our company prides itself on a meticulous approach, ensuring that we meet your specific needs. We have established a robust network of highly skilled professionals who are readily available to fulfill your requirements. With a strong commitment to excellence, we consistently deliver exceptional results for clients in India, Denmark, France, Germany, Ireland, Japan, Spain, Thailand, the USA, Canada and Mexico, with ongoing expansion efforts to serve more new regions in the near future.We consistently uphold the highest standards of quality by providing resources, time, and materials to design, implement, and support efficient operations for organizations. Our track record of measurable accomplishments demonstrates our commitment to cultivating a balanced work and societal ecosystem.Our continuous growth, successful customer engagements, and strong customer retention exemplify our achievements. Furthermore, our passion lies in streamlining complex business processes through the application of suitable technology, which has been integral to our success.We extend an invitation to join our dynamic workplace, offering rapid growth opportunities, excellent employee benefits, and a positive work-life balance.

Company details

Company typeScaleup

Company size201 - 500

Links

Website LinkedIn See all jobs

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Job description

JOB SUMMARY:

Collaborate with the Technical Lead (TL) to understand ongoing migration and transformation initiatives.
Provide hands-on technical support and troubleshooting as needed.
Assist in documenting migration processes and establishing best practices.
Help transition legacy release pipelines to new RPCFG configurations.
Support JDK migration efforts to ensure seamless transitions with minimal downtime.
Conduct testing and validation to confirm successful migrations.
Work with cross-functional teams, including Data Engineering, DevOps, and Software Development.
Provide weekly status updates, lead knowledge-sharing sessions, and document key findings to strengthen team capabilities.

REQUIREMENTS:

Proven experience developing AI/BI dashboards using Databricks.
Proficiency in SQL, Python, and Spark for data engineering tasks.
Knowledge of data pipeline design, implementation, and maintenance.
Ability to work both independently and collaboratively across teams.
Strong analytical and problem-solving abilities.
Familiarity with project management tools such as Jira, Confluence, and Slack.

RESPONSIBILITIES:

Develop and enhance AI/BI dashboards on the Databricks platform.
Design and implement data visualization solutions to support BI reporting.
Perform data engineering tasks, including creating, maintaining, and optimizing pipelines.
Improve existing ETL processes for scalability and efficiency.
Ensure data accuracy and integrity through collaboration with internal teams.
Provide documentation and lead knowledge transfer sessions for deployed solutions.
Deliver weekly status reports and create clear SOPs and documentation for implemented dashboards.