
Job Description:
As Azure Lead Data Engineer, you will have to take over the key activities of designing, coding, and implementing data solutions in the platform. With a focus on leveraging DBT for data transformation and modelling, as well as expertise in MDM tools, you will play a pivotal role in architecting scalable and performant data pipelines and warehouses. You will collaborate closely with cross-functional teams to understand business requirements, architect data solutions, and ensure successful project delivery. You will be leading a team of skilled engineers who will collectively deliver scalable, highly dependable data solutions that can cater to the customers.
Responsibilities:
- Lead the design, development, and implementation of data solutions on the Microsoft Azure platform.
- Architect data pipelines, data warehouses, and data lakes using Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Blob Storage.
- Design and implement ETL processes to extract, transform, and load data from various sources into Azure data platforms, utilizing DBT for data transformation.
- Develop scalable and efficient data models to support analytics, reporting, and machine learning initiatives, with a strong emphasis on using DBT for modelling.
- Lead performance optimization efforts to ensure the efficient processing of large volumes of data.
- Mentor and coach junior team members, providing guidance on best practices, technical expertise, and professional development.
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
- Stay abreast of emerging technologies and industry trends in data engineering and cloud computing.
Qualifications:
- BE Computer Science or a related field.
- ~10 years of experience in data engineering, designing, and implementing data solutions on the Microsoft Azure platform.
- Deep understanding of Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Blob Storage.
- Proficiency in DBT (Data Build Tool) for data transformation and modelling.
- Experience working with any Master Data Management (MDM) tools.
- Experience with data governance and metadata management tools such as Azure Purview or similar.
- Proficiency in programming languages such as Python, Scala, or Java.
- Experience with big data technologies such as Hadoop, Spark, and Kafka.
- Strong leadership skills with the ability to lead and mentor a team of engineers.

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Frontend Developer Intern – 3 Months Internship (Unpaid)
Company: [Your Company Name]
Location: Remote / On-site (Specify)
Duration: 3 Months
Stipend: Unpaid
Benefits: Internship Certificate + Letter of Recommendation (Performance-based)
📝 About the Role
We are looking for a motivated Frontend Developer Intern to join our tech team. This role is ideal for students or freshers who want hands-on experience in building responsive, user-friendly web interfaces and improving their coding skills through real-world projects.
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- Pursuing or completed a degree in Computer Science, IT, Engineering, or related field
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- Familiarity with frontend frameworks (React preferred, but not mandatory)
- Basic understanding of Git/GitHub
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🎁 What You Will Gain
- Hands-on experience in real-world frontend projects
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Employment Type:
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Salary up to: 20 LPA
Position Type: Full-time
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Role – Telesales
Exp – 0 to 4years
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Job Summary
You will be responsible for driving sales of Flight, Hotel, and Holiday bookings by making outbound calls to travel agents, managing the entire sales cycle from lead generation and quoting to final payment follow-up.
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