Role: Senior Analytics Engineer / Data Engineer
Experience: 7+ Years
Location: Bangalore
Notice Period: Immediate Joiners Preferred (0–15 Days)
Employment Type: Full-Time
About the Role
Skilltect Technologies is seeking a highly skilled Analytics Engineer with strong expertise in Databricks, Microsoft Fabric, Python, and modern data engineering practices. The ideal candidate will be responsible for building scalable data pipelines, transforming raw data into analytics-ready datasets, and enabling advanced analytics and business insights across the organization.
Key Responsibilities
Design, develop, and maintain scalable ETL/ELT pipelines using Databricks and Microsoft Fabric.
Ingest, process, transform, and curate data from multiple enterprise systems.
Perform Exploratory Data Analysis (EDA) to identify trends, anomalies, and data quality issues.
Build and optimize analytics-ready datasets and semantic models for reporting and self-service analytics.
Develop robust data models to support business intelligence and advanced analytics use cases.
Apply analytical techniques such as trend analysis, segmentation, forecasting, and predictive indicators.
Collaborate with business stakeholders, data analysts, and engineering teams to deliver scalable data solutions.
Ensure data quality, governance, performance optimization, and documentation of data assets.
Support Power BI reporting and dashboard initiatives when required. Mandatory Skills
Data Engineering & Analytics
Advanced SQL
Python Programming
Data Engineering & Data Transformation
ETL / ELT Pipeline Development
Data Modeling (Dimensional Modeling, Star Schema, Semantic Models)
Exploratory Data Analysis (EDA)
Data Quality & Performance Optimization
Tools & Technologies
Databricks (Mandatory)
○ Apache Spark
○ Spark SQL
○ DataFrame APIs
Microsoft Fabric (Mandatory)
Azure Data Platform Services
Git / Azure DevOps
Version Control & CI/CD Practices
Good to Have
Power BI (DAX, Data Modeling, Dashboard Development)
Machine Learning & Predictive Analytics
Azure Synapse Analytics
Data Lake Architecture
Self-Service Analytics Platforms
Insurance Domain Experience
Experience in regulated industries (BFSI, Insurance, Healthcare) Qualifications
Bachelor's or Master's Degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.- rephrase this into lienkin post with shaort and clear
Pay: ₹510,705.19 - ₹1,870,927.45 per year
Benefits:
- Flexible schedule
- Paid time off
- Provident Fund
Work Location: In person
