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- Tasks: As an Azure Data Engineer, you'll design and implement data solutions using Azure technologies.
- Company: Join Birlasoft, a leader in digital transformation with a legacy of 161 years in building sustainable communities.
- Benefits: Enjoy a collaborative work environment with opportunities for professional growth and development.
- Why this job: Be part of a dynamic team that reimagines business processes and makes a real impact on society.
- Qualifications: You need at least 7 years of experience with Azure Data Factory, Data Lake, and Data Bricks, plus T-SQL skills.
- Other info: Knowledge of Spark and Python is essential for this role.
The predicted salary is between 48000 - 84000 £ per year.
About Birlasoft Ltd.
Birlasoft combines the power of domain, enterprise, and digital technologies to reimagine business processes for customers and their ecosystem. Its consultative and design thinking approach makes societies more productive by helping customers run businesses. As part of the multibillion-dollar diversified CK Birla Group, Birlasoft with its 12,500+ professionals, is committed to continuing the Group’s 161-year heritage of building sustainable communities.
Requirements
- Good Knowledge of Microsoft T-SQL query writing.
- Good Knowledge of Document writing
- Good Knowledge of MSBI (SSIS) ETL tool.
- Minimum experience should be 7 years.
- Azure Data Factory (Must)
- Azure Data Lake (Must)
- Azure Data Bricks (Must)
- Must also have the knowledge of Spark and Python
Azure Data Engineer employer: Birlasoft
Contact Detail:
Birlasoft Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer
✨Tip Number 1
Make sure to showcase your hands-on experience with Azure Data Factory, Data Lake, and Data Bricks during the interview. Prepare specific examples of projects where you utilized these tools effectively.
✨Tip Number 2
Brush up on your Microsoft T-SQL skills. Be ready to discuss complex queries you've written and how they contributed to data processing or reporting in your previous roles.
✨Tip Number 3
Since documentation is key, prepare to talk about your experience in writing technical documents. Highlight any processes you’ve improved through clear documentation.
✨Tip Number 4
Familiarize yourself with Spark and Python, as they are essential for this role. Consider discussing any relevant projects where you applied these technologies to solve data-related challenges.
We think you need these skills to ace Azure Data Engineer
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your 7+ years of experience in data engineering, particularly with Azure Data Factory, Azure Data Lake, and Azure Data Bricks. Use specific examples to demonstrate your expertise.
Showcase Technical Skills: Clearly list your technical skills related to Microsoft T-SQL, MSBI (SSIS), Spark, and Python. Provide context on how you've applied these skills in previous roles.
Craft a Strong Cover Letter: Write a compelling cover letter that explains why you are a great fit for Birlasoft. Mention your understanding of their consultative approach and how your background aligns with their mission.
Proofread Your Application: Before submitting, carefully proofread your application materials. Ensure there are no grammatical errors and that your documents are well-structured and professional.
How to prepare for a job interview at Birlasoft
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Microsoft T-SQL, Azure Data Factory, and other relevant tools. Highlight specific projects where you utilized these technologies to solve problems or improve processes.
✨Demonstrate Your ETL Knowledge
Since the role requires knowledge of MSBI (SSIS) and ETL processes, be ready to explain your approach to data integration and transformation. Share examples of how you've successfully implemented ETL solutions in past roles.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think about challenges you've faced in data engineering and how you overcame them, especially using Azure Data Lake and Azure Data Bricks.
✨Communicate Clearly and Effectively
Good documentation skills are essential for this position. Practice explaining complex technical concepts in simple terms, as you may need to communicate with non-technical stakeholders during the interview.
