Data Engineer

We are seeking a skilled and experienced Data Engineer to design, develop, and maintain scalable data pipelines and data platforms. The ideal candidate will have strong expertise in big data technologies, cloud platforms, ETL/ELT processes, and data warehousing concepts. The role involves working closely with data scientists, analysts, and business stakeholders to enable data-driven decision-making across the organization.

Responsibilities

Design, develop, and optimize scalable batch and real-time data pipelines.

Build and maintain robust ETL/ELT processes for ingesting, transforming, and loading data from multiple sources.

Develop and manage data lakes, data warehouses, and metadata frameworks.

Collaborate with cross-functional teams to understand data requirements and deliver data solutions.

Ensure data quality, governance, lineage, and security standards are maintained.

Monitor, troubleshoot, and optimize data workflows and pipeline performance.

Technical requirements

Databricks Certification

Azure Data Engineer Associate Certification

AWS Data Analytics Certification

Experience with Delta Lake, Iceberg, or Lakehouse Architecture

Knowledge of GenAI/LLM data pipelines

Education

MCA,MSc,Bachelor of Engineering,BBA,BCom,BCS