Jobs → Data & Analytics → Data Engineer

About the Role We are seeking a highly skilled Data Engineer to design, build, and maintain scalable data pipelines and ingestion frameworks. This role involves transforming raw data into reliable, high-quality datasets that support analytics, reporting, and business decision-making. Key Responsibilities • Design, develop, and maintain robust data ingestion and ETL/ELT pipelines • Build scalable data processing solutions using Python, Pandas, and PySpark • Develop and optimize data workflows for batch and real-time processing • Integrate data from multiple sources including APIs, databases, files, and cloud platforms • Perform data cleansing, transformation, validation, and enrichment activities • Create and manage data models, schemas, and metadata frameworks • Ensure data quality, integrity, governance, and security standards are maintained • Monitor, troubleshoot, and optimize data pipeline performance • Collaborate with Data Analysts, Data Scientists, and Business Teams to deliver reliable data solutions • Automate data ingestion and processing workflows using orchestration tools • Document data architecture, pipelines, and technical solutions Requirements • 8+ years of experience in data engineering • Strong expertise in Python, DataFrames (Pandas/PySpark), and data processing libraries • Experience in ETL/ELT development and large-scale data integration • Knowledge of data modeling, schemas, and metadata frameworks • Understanding of data quality, integrity, governance, and security standards • Experience with data orchestration tools • Ability to collaborate with cross-functional teams