Description

Position Overview

We are seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and cloud-based data solutions. The role focuses on developing robust ETL/ELT processes, optimizing data architectures, and enabling high-quality analytics and reporting across enterprise systems. The ideal candidate will have strong experience in cloud data platforms, big data technologies, data modeling, and data governance, along with hands-on engineering expertise in Python and SQL .

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows
• Build and optimize data models, schemas, and data warehouse solutions
• Develop and support cloud-based data solutions using modern data platforms
• Integrate and manage APIs for data ingestion and distribution
• Implement and maintain data governance, security, and compliance standards
• Monitor, troubleshoot, and optimize data processing workflows
• Collaborate with BI and analytics teams to support reporting and insights
• Develop infrastructure automation using CI/CD and IaC tools
• Ensure performance, scalability, and reliability of data systems

Required Skills & QualificationsCloud & Data Platforms

Strong experience with Azure ecosystem (ADF, Data Lake, Blob Storage, Functions)

Experience with Databricks and Apache Spark

Data Engineering

Strong experience in ETL/ELT pipeline development

Data modeling, schema design, and data warehousing concepts

Experience with OLTP/OLAP systems and performance tuning

Programming

Strong proficiency in Python and SQL

Exposure to Scala or R is a plus

Big Data & Analytics

Experience with Spark, PySpark, and Databricks

Familiarity with BI tools such as Power BI or Tableau

Data Governance & Security

Knowledge of RBAC/ABAC, data lineage, and data security practices

Experience implementing monitoring and audit controls in cloud environments

DevOps & Infrastructure

Experience with Git and CI/CD pipelines

Familiarity with Terraform and infrastructure-as-code

Experience with YAML-based deployment automation

Experience Required

7+ years of experience in data engineering or enterprise data architecture

5+ years of hands-on experience with Azure Data Factory and Databricks

5+ years of experience building data pipelines using Python and SQL

5+ years of experience with data warehousing and BI integration

5+ years of experience with CI/CD pipelines and cloud infrastructure automation

Strong experience working with Lakehouse or modern data architecture

Education

Bachelor's degree in Computer Science, Information Technology, Engineering, or related field (or equivalent experience)

Key Skills

Education

Any Graduate