About the role

Data Engineer

Job Summary:

As a Data Engineer, you will play a pivotal role in transforming raw data into actionable insights for our organization. Your expertise in building and maintaining robust data pipelines will empower our analytical capabilities and support key business decisions.

Key Responsibilities:

Design and implement scalable ETL/ELT pipelines to ensure efficient data extraction, transformation, and loading processes.
Develop and maintain a comprehensive data architecture using Microsoft Fabric, Data Lakehouse, and Data Warehouse frameworks.
Utilize Azure Data Factory and Azure Synapse for orchestrating data workflows and real-time analytics solutions.
Model complex datasets and create effective data structures to optimize querying performance.
Collaborate with cross-functional teams to integrate data needs and ensure data integrity across various platforms.
Code in Python and PySpark to execute data processing tasks and automate data workflows.
Support API integrations, ensuring seamless data flow and orchestration across systems.

Requirements:

B.E./B.Tech/MCA degree in Computer Science or a related field.
6-10 years of experience in data engineering with a strong focus on Microsoft Fabric, Python, and SQL.
Expertise in Azure technologies, including Azure Data Factory and Azure Synapse.
Proven experience in building enterprise-level ETL/ELT pipelines and data modeling.
Strong understanding of real-time analytics and data orchestration methodologies.
Excellent problem-solving skills and the ability to work in a fast-paced environment.
Willingness to work UK Shift hours (1:00 PM - 10:00 PM IST).

Preferred Qualifications:

Hands-on experience with Azure Storage and Azure SQL databases.
Familiarity with Power BI for data visualization and reporting.
Experience in data governance and data security best practices.
Ability to collaborate with stakeholders to define data requirements and metrics.

Benefits:

Competitive salary and performance-based bonuses.
Comprehensive health insurance coverage.
Flexible work hours with an opportunity for remote work.
Continual learning and professional development opportunities.
Supportive work environment that values diversity and inclusion.
Access to the latest technology and tools to enhance productivity.
Employee wellness programs and activities.