Data Engineering & Analytics Lead
10+ years
Introduction
We are looking for a strong Data Engineering & Analytics professional with 10+ years of experience in building data pipelines, data models and analytics solutions, with hands-on expertise in Databricks, SQL, PySpark, Python and Power BI.
Work Timing -9:00 am-6:00 pm/ 6:30 PM - 3:30 AM
Responsibilities include:
- Design, develop, and maintain scalable ETL/ELT pipelines using Databricks, PySpark, Python, and Azure Data Factory.
- Build and optimize enterprise-grade data solutions using Databricks Lakehouse architecture and Delta Lake.
- Develop high-performance data transformation workflows and implement data quality controls.
- Create and maintain logical and physical data models to support reporting, analytics, and business intelligence requirements.
- Write and optimize complex SQL queries, stored procedures, views, and data transformation logic.
- Design and implement Medallion Architecture (Bronze, Silver, Gold layers) for modern analytics platforms.
- Develop interactive dashboards, reports, and analytical solutions using Power BI.
- Collaborate with business stakeholders to understand reporting and analytics requirements.
- Ensure data governance, metadata management, and data cataloging best practices are followed.
- Implement performance optimization strategies across data pipelines, Databricks workloads, and reporting solutions.
- Leverage AI/LLM-enabled tools for data analysis, insight generation, and analytics acceleration.
- Work closely with cross-functional teams including Data Architects, Business Analysts, and Product Owners.
- Support CI/CD and version control practices for data engineering solutions.
Primary Skills :
- Databricks (Delta Lake, Lakehouse, data transformation, performance optimization)
- SQL (advanced queries, joins, window functions, performance tuning, data transformation)
- PySpark (transformations, joins, aggregations, window functions, deduplication, optimization )
- Python
- ETL / ELT Pipeline Development
- Data Modeling & Schema Design
- Power BI (data modelling, dashboards, analytics)
- Azure Data Factory (ADF)
- Data Lake / Lakehouse Architecture / Medallion Architecture
- AI-assisted Data Analysis & Analytics (leveraging AI/LLMs for data analysis, insight generation and analytics development)
Secondary Skills :
- ADLS Gen2
- Data Quality & Validation
- Git / Version Control
- CI/CD Fundamentals
- Data Governance / Metadata / Data Cataloguing
- Exposure to Process / Operational Analytics or Process Intelligence is a plus
Job Details
Role:
Data Engineering & Analytics Lead
Location :
Trivandrum/Kochi
Close Date :
16-10-2026
Interested candidates may forward their detailed resumes to Careers@reflectionsinfos.com along with their notice period, current and expected CTC details. This is to notify jobseekers that some fraudsters are promising jobs with Reflections Info Systems for a fee. Please note that no payment is ever sought for jobs in Reflections. We contact our candidates only through our official website or LinkedIn and all employment related mails are sent through the official HR email id. Please contact careers@reflectionsinfos.com for any clarification/ alerts on this subject.
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