Data Engineering & Analytics Lead -US (CST Timing)

Reflections Info Systems Pvt Ltd; United States; Sur place; USD 140 000 - 200 000; Plein temps

Résumé du poste

Reflections Info Systems Pvt Ltd is seeking a Data Engineering & Analytics Lead with 10+ years of experience. The role focuses on designing scalable ETL/ELT pipelines, data models, and analytics solutions using Databricks and Azure tools.

You will work with SQL, PySpark, Python, and Power BI to deliver enterprise-grade data platforms, implement data governance, and collaborate with stakeholders across teams.

Qualifications

• 10+ years of experience in data engineering and analytics.
• Hands-on with Databricks, SQL, PySpark, Python and Power BI.

Responsabilités

• Design, build, and maintain scalable ETL/ELT pipelines using Databricks, PySpark, Python and Azure Data Factory.
• Develop data models and analytics solutions; ensure data governance and quality.

Connaissances

SQL

PySpark

Python

Data Modeling

Lakehouse

AI analytics

Outils

Databricks

Azure Data Factory

Delta Lake

Power BI

Description du poste

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 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 :

• SQL (advanced queries, joins, window functions, performance tuning, data transformation)
• PySpark (transformations, joins, aggregations, window functions, deduplication, optimization )
• Python
• Data Modeling & Schema Design
• 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
• Data Governance / Metadata / Data Cataloguing
• Exposure to Process / Operational Analytics or Process Intelligence is a plus

Role:

Data Engineering & Analytics Lead

Location :

US

Close Date :

09-10-2026