Crescendo Global
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Gurugram · On-site · 4-7 Yrs · Sep 29
HR Consulting · 51 to 200 Employees · Gurgaon, India
At Crescendo Global, we're not just building a company—we're shaping a culture. A culture rooted in grit, passion, ambition, and inclusion, where every voice matters and every goal is backed by relentless dedication. We're reimagining what senior-level hiring should feel like—for both job seekers and employers—by making the experience strategic, empowering, and human. Our team is a collective of curious minds and bold thinkers, united by a shared mission: To leave a lasting impact through every connection we create. We don’t just recruit people who are great at what they do—we bring in individuals who love what they do, and who thrive in a workplace that values purpose as much as performance. This passion shines through in everything we do—it’s the energy that drives our success and the loyalty that powers our partnerships. As we proudly celebrate 11 years of excellence in 2025, Crescendo Global stands tall with over 4,100 successful placements, across 10+ functional domains and 20+ industries. Our niche recruitment expertise spans critical areas like Analytics & Technology, Sales & Marketing, Finance & Insurance, Supply Chain & Procurement, Strategy & Change, Industrial Engineering, HR, Legal, and Research. From shaping careers to transforming businesses, We’re here to make recruitment meaningful. Join us. Let’s sculpt the future, one impactful placement at a time. Toll-Free: 1800-103-3016
Hiring: Engineering
What employees say
+ Pathetic work culture ,extreme high pressure
− They make your exit very difficult
More reviews on the company profile.
Interview experience · Consultant Sales and Marketing Strategy
3 rounds: Screening round, HR round and business discussion with the Managing Director. The focus was mainly on your understanding of the sales domain and whether you are able to carry the conversation forward.
Average difficulty · India · 13 reports
More interview insightsJob description
Overview
Azure Data Engineer | Azure Databricks | ADF | Python | PySpark | SQL
Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory (ADF) and Azure Databricks.
- Develop efficient data transformation workflows using PySpark and Python.
- Build, optimize, and maintain batch and incremental data processing pipelines.
- Write high-performance SQL queries, stored procedures, and views for data extraction, transformation, and reporting.
- Develop reusable Python scripts for automation and data processing.
- Integrate data from multiple sources, including databases, APIs, cloud storage, and flat files.
- Optimize Spark jobs for performance, scalability, and cost efficiency.
- Implement data quality checks, logging, monitoring, exception handling, and alert mechanisms.
- Work with Delta Lake, partitioning strategies, and data optimization techniques.
- Collaborate with business stakeholders and cross-functional teams to understand data requirements and deliver reliable data solutions.
- Troubleshoot production issues, perform root cause analysis, and implement preventive measures.
- Follow coding standards, version control practices, and CI/CD methodologies to ensure high-quality deliverables.
Qualifications
- Strong hands-on experience with Azure Databricks.
- Proven expertise in Azure Data Factory (ADF).
- Strong programming experience in Python.
- Excellent coding skills in PySpark for large-scale data processing.
- Advanced SQL knowledge with query optimization and performance tuning.
- Experience with Delta Lake and Spark SQL.
- Hands-on experience with Azure Data Lake Storage (ADLS Gen2).
- Experience using Git or Azure DevOps for source code management.
- Good understanding of data warehousing concepts and dimensional modeling.
- Experience integrating data using REST APIs.
- Exposure to Azure Synapse Analytics will be an added advantage.
- Knowledge of Microsoft Fabric is preferred.
- Experience with Spark Structured Streaming or Apache Kafka is desirable.
- Exposure to Power BI is preferred.
- Familiarity with Azure DevOps CI/CD pipelines.
- Understanding of Agile/Scrum methodologies.
- Opportunity to work on enterprise-scale Azure cloud data engineering projects.
- Exposure to modern cloud technologies including Azure Databricks, ADF, Delta Lake, and Azure Synapse Analytics.
- Collaborative and technology-driven work environment.
- Continuous learning and career growth opportunities.
- Competitive compensation and comprehensive employee benefits.
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Job application FAQ
Last updated 24 October 2026
- How do I apply for Data Engineering-4 plus Years-Noida at Crescendo Global?
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- Is Data Engineering-4 plus Years-Noida remote or on-site in Gurugram, Haryana?
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- What skills matter for this Data Engineering-4 plus Years-Noida role at Crescendo Global?
- Key skills for this role include skills listed in the job description. Upload a resume to see which requirements you already meet and which are gaps.