IN_Senior Associate_ Data Engineer - Data and Analytics_Advisory_Pan India

Description

& Summary : A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Responsibilities :

• Design, develop, and maintain data pipelines using Azure Data Factory (ADF) for ingestion, transformation, and integration of data from various energy systems.
• Implement workflows using Logic Apps and Function Apps to automate data processing and system interactions.
• Manage and optimize data storage using Azure Data Lake Storage Gen2 (ADLS Gen2) and Azure SQL databases.
• Integrate real-time and batch data from IoT devices and energy platforms using Event Hub and Service Bus.
• Collaborate with cross-functional teams to support data needs across power distribution, automation, and monitoring solutions.
• Ensure data quality, security, and compliance with industry standards and regulations.
• Document data architecture, workflows, and best practices for operational transparency and scalability.

Mandatory skill sets :

Azure Data Factory, Logic Apps, Function Apps, Azure SQL, Event Hub, Service Bus, and ADLS

Preferred skill sets :

Python, SQL, and data modeling

Years of experience required :

3 to 10 Years

Education qualification :

Bachelor's degree in computer science, data science or any other Engineering discipline. Master’s degree is a plus

Education

Degrees / Field of Study required : Bachelor Degree, Master DegreeDegrees / Field of Study preferred :

Certifications

Required Skills

Data Engineering

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}

Desired Languages

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date