Reflections Info Systems
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Thiruvananthapuram · On-site · 10-13 Yrs · Sep 28
Information Technology Support Services · 201 to 500 Employees · Thiruvananthapuram, India
We are a technology services and solutions company (ISO 9001:2015 certified), Established in 2008, providing high quality end-to-end IT Solutions and Services to clients globally. We specialize in creating bespoke software solutions, web applications, mobile applications and more to bring our clients’ ideas to reality. We have experience in delivering high quality total solutions for different domains including Healthcare, Banking & Financial Services, Retail & Shopping, Logistics & Transportation, Media & Entertainment, Automobile and Fashion and more. We combine proven software development methodologies, experience with latest technologies and a deep understanding of industry verticals to provide high quality services that range from business analysis, commercial-grade product architecture, design, custom application development, QA and testing services. Staining success of the solutions we deliver is ensured by providing carefully crafted after-sales and maintenance support.
Hiring: Engineering
What employees say
+ Supportive team environment with opportunities to learn new technologies. Good exposure to real projects and helpful colleagues.
− Project timelines can sometimes be tight. Communication between teams can be improved for smoother delivery.
More reviews on the company profile.
Interview experience · Software Engineer
Virtual interview : Node.js and python live coding first round. SQL basic questions were asked in the interview. Node.js and python related basic to intermediate level questions were
Average difficulty · Bengaluru · 13 reports
More interview insightsJob description
Overview
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.
Responsibilities
- 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.
- 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)
- 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
- Data Engineering & Analytics Lead
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Job application FAQ
Last updated 4 October 2026
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- What skills matter for this Data Engineering & Analytics Lead role at Reflections Info Systems?
- This is a lead Data Engineering & Analytics Lead role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.