Summary : We are looking for a skilled Azure Data Engineer with 5 to 9 years of experience to join our dynamic team. In this role, you will work on implementing data engineering solutions in Azure, leveraging cutting-edge technologies such as PySpark, Databricks, and Data Warehousing. If you have a passion for big data and cloud technologies, this is the perfect opportunity for you to be a part of our innovative team!
Your Future Employer - It is a global leader in IT sector, helping Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail/CPG industries.
Responsibilities
- Design, implement, and maintain Azure-based data engineering solutions.
- Work with cloud-based data storage solutions, including Azure Data Lake and Azure Blob Storage.
- Build data pipelines using PySpark and Databricks to process large datasets.
- Develop ETL processes and integrate data from multiple sources into a centralized data warehouse.
- Collaborate with data scientists, analysts, and business stakeholders to understand and implement data requirements.
- Optimize data workflows for efficiency and scalability using Azure tools.
Requirements:
- Azure: Hands-on experience with Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and other Azure data services.
- PySpark: Strong knowledge and experience in working with PySpark to process large datasets.
- Databricks: Experience in using Databricks for data processing and analytics.
- Data Warehousing: Expertise in building, maintaining, and optimizing data warehouses in Azure.
- Solid experience with SQL and NoSQL databases for data storage and retrieval.
- Experience with data modeling, ETL pipelines, and performance tuning.
What is in for you:
Lead cutting-edge AI projects across industries.
Hands-on role with opportunities to grow and innovate.
Competitive salary and benefits.
Collaborative, diverse, and inclusive work environment.
Reach us- If you feel that you are the right fit for the role please share your updated CV at sakshi.thapar@crescendogroup.in
Disclaimer- Crescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Note: We receive a lot of applications on a daily basis so it becomes a bit difficult for us to get back to each candidate. Please assume that your profile has not been shortlisted in case you don't hear back from us in 1 week. Your patience is highly appreciated.
Profile Keywords- Azure, Databricks, Data warehousing, ETL , Pyspark, SQL