Key Facts

Remote From:

Full time

English

Hard Skills

Data Modeling Snowflake (Data Warehouse) Azure Data Explorer (Kusto) ETL (Extract Transform Load) Data Management Performance Systems Analysis Data Engineering Data Security Data Integration Regulatory Compliance Internal Documentation Computer Maintenance Scalability Azure Data Factory Continuous Monitoring Query Optimization ETL (Extract Transform Load) Data Architecture Stakeholder Communications

Other Skills

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Teamwork
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Communication
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Problem Solving

Roles & Responsibilities

Extensive experience as an Azure Data Engineer with deep knowledge of Azure data services
Strong Snowflake expertise, including data modeling and performance optimization
Proven track record designing, developing, and maintaining scalable data solutions
Hands-on ETL/ELT development and data integration experience using Azure Data Factory or equivalent tools, with focus on security and compliance

Requirements:

Data Solution Design: Collaborate with stakeholders to design scalable data solutions using Azure services and Snowflake.
Data Modeling: Develop and implement Snowflake data models aligned with business requirements and performance goals.
ETL Development: Design, develop, and maintain ETL/ELT processes to load data into Snowflake via Azure Data Factory or other tools.
Data Integration: Implement seamless data integration between Azure and Snowflake platforms.

PradeepIT Consulting Services Pvt Ltd

About PradeepIT Consulting Services Pvt Ltd

Join PradeepIT: Innovating Information Technology and Solutions We pride ourselves on delivering exceptional results in the digital era of Information and Technology. With a track record of successful projects across offshore, nearshore, and onshore locations, we've built a clientele spanning 3 continents and 100+ companies. Our 380+ successful projects reflect our commitment to excellence. At PradeepIT, we prioritize the satisfaction of our resources, followed closely by meeting the needs of our clients and partner companies. Our service offerings include Outsourcing, Managed Services, Recruitment Process Outsourcing, Customer Relationship Management, Web Designing & Development, Content Development, and E-commerce Management. We specialize in SAP S/4 HANA, SAP Customer Data Cloud (Gigya), SAP CPQ (Calliduscloud), SAP Customer Experience, Mobility, Android, iOS & Hybrid development for native application developments. Our core value of "Join As Employee With Us And Grow Up As Entrepreneur" drives our mission. We proudly introduce our venture companies: 1. HG Infotech Pvt Ltd 2. Beli Brother Consulting Pvt Ltd 3. Involvemind 4. Stackglobe 5. Prastuti Consulting 6. Khahara Consulting 7. Thinkhigh And many more to come in the near future. We invite you to be part of our clients' success stories by adopting the latest technology and continually improving processes. If you'd like to learn more about us or have specific questions, visit www.pradeepit.com, call us at 08047363377, or email info@in.pradeepit.com. Let's work together on your next project!

Founded: 2018

Company size: 51 - 200

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Job description

Job Description:

We are seeking an experienced and skilled Azure Data Engineer with significant expertise in Snowflake to join our dynamic team. The ideal candidate should possess in-depth knowledge of Azure data services, and Snowflake, and have a proven track record in designing, developing, and maintaining robust data solutions.

Key Responsibilities:

1. Data Solution Design:- Collaborate with stakeholders to understand data requirements and design scalable and efficient data solutions using Azure services and Snowflake.

2. Data Modeling: - Develop and implement data models that align with business requirements and ensure optimal performance in Snowflake.

3. ETL Development: Design, develop, and maintain ETL processes to extract, transform, and load data from various sources into Snowflake using Azure Data Factory or other relevant tools.

4. Data Integration: Implement seamless data integration solutions between Azure and Snowflake platforms.

5. Optimization and Performance Tuning: Identify and resolve performance bottlenecks, optimize queries, and ensure the overall efficiency of data pipelines.

6. Data Security and Compliance: Implement and maintain data security measures, ensuring compliance with industry standards and regulations.

7. Monitoring and Maintenance: Set up monitoring processes to proactively identify issues, and perform routine maintenance tasks to ensure data integrity and system stability.

8. Documentation: Create and maintain comprehensive documentation for data engineering processes, configurations, and best practices.