Senior Data Engineer - Analytics & BI

Job Requirements

Job Description

We are looking for a Senior Data Engineer with strong hands-on experience in Azure

data platforms, particularly Azure Data Factory, Azure Databricks, SQL Server, and

Power BI. The candidate should have a good understanding of end-to-end data

architecture across ingestion, processing, and reporting layers. The role involves

contributing to complex implementations, ensuring best practices, and mentoring junior

team members.

Education Qualificaiton

Bachelor’s or Master’s degree in Computer Science, Information Technology, Data

Engineering, Data Science, or a related field.

Roles & Responsibilities

Key Responsibilities:

● Design, develop, and manage end-to-end data pipelines using Azure Data Factory

(ADF) for efficient ETL/ELT processes.

● Develop, deploy, and monitor scalable data solutions using Azure Synapse Analytics /

Databricks to support large-scale data processing and analytics.

● Write optimized SQL Server scripts, stored procedures, and views to support data

transformation and integration requirements.

● Build and maintain insightful dashboards and reports using Power BI, with a focus on

usability, performance, and clear data communication.

● Develop automation scripts using PowerShell for operational and monitoring tasks

across Azure services.

● Create automated workflows using Power Automate to streamline manual tasks and

notifications.

● Leverage Python / PySpark for data manipulation, transformation, and orchestration

within Synapse or Databricks environments.

● Collaborate with business stakeholders, data analysts, and application developers to

gather requirements and deliver high-quality solutions.

● Perform root cause analysis, data validation, and ensure data integrity across systems

and processes.

● Mentor junior engineers and participate in code reviews, design discussions, and

documentation efforts to ensure best practices and knowledge sharing.

● Ensure security, compliance, and governance in all data engineering activities.

Required Skills and Qualifications:

● 8-10 years of experience in data engineering, data analytics, or business intelligence

roles.

● Strong proficiency in Azure Data Factory, SQL Server, and Power BI. ● 3+ years of hands-on experience with Azure Synapse Analytics or Databricks and

Python for data transformation and analysis.

● Experience with PowerShell sc

Work Experience 7-10Years