Specialist - Data Engineering

Responsibilities

Design develop and maintain Power BI dashboards and reports

Perform data extraction transformation and loading ETL processes

Collaborate with stakeholders to understand their data needs

Ensure the accuracy and reliability of data presented in the dashboards

Train endusers on how to use the dashboards and reports effectively

Troubleshoot datarelated issues and maintain the Power BI infrastructure

Stay updated with the latest Power BI features updates and best practices

Benefits

Comprehensive medical plan covering medical, dental, and vision

Short-term and long-term disability coverage

401(k) plan with company match

Life insurance

Vacation time, sick leave, and paid holidays

Paid paternity and maternity leave

Depending on the position offered, an annual performance-based bonus, sales incentive pay, and other forms of bonus or variable compensation may be provided

LTM is a worldwide technology consulting and digital solutions company that empowers businesses in a variety of sectors.

Mumbai, Maharashtra, IND

https://www.ltm.com

Late Stage

Leadership Team

Venu Lambu

Chief Executive Officer & MD

Vipul Chandra

CFO & Whole time Director

Recent News

UAE Business Review

LTM Expands Collaboration with Google Cloud to Help Accelerate Gemini Enterprise Adoption at Scale

2026-10-11

thecanadianpressnews.ca

LTM Launches BlueVerse™ AgenTraceIQ

2026-10-06

Livemint.com

TCS, Infosys, Wipro shares ahead of Q2 results: Explained | What Accenture's strong earnings mean for Indian IT stocks

2026-10-05

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Qualifications

ITAR compliant US Citizen only

Strong handson experience in SQL and Power BI is required

Bachelors degree in information systems or a related field

Proficiency in Power BI and other data tools

Experience With SQL DAX And Other Data Languages

Strong understanding of data analysis and visualization principles

Excellent problemsolving skills and attention to detail

Strong communication skills and working well in a team

Required skills

Power BI, SQL, DAX, Data Analysis, Data Visualization

Experience

Mid level