Azure Databricks Engineer

Job Opening: Azure Databricks Engineer (7+ Years Experience) | Budget: ₹1 LPM | Remote/Hybrid Interview Process:

3 Rounds BGV:

Mandatory We are seeking a highly skilled

Azure Databricks Engineer

with 7+ years of experience to join our data engineering team. This role is ideal for professionals who have deep expertise in building scalable data pipelines, optimizing data processes, and working with Azure data ecosystem. If you are passionate about designing efficient data solutions and enabling data-driven decisions, we’d love to connect! Key Responsibilities ✔ Data Integration & ETL/ELT Development Design, build, and maintain scalable ETL/ELT pipelines using

Azure Databricks, Python, SQL/T-SQL, and Spark . Extract, clean, transform, and load data from diverse sources into

Azure Data Lake

and data warehouse environments. Ensure data accuracy, consistency, and reliability for analytics and reporting. ✔ Data Management & Storage Implement robust storage solutions using

Azure Databricks & Azure Data Lake Storage (ADLS) . Architect secure and scalable data models aligned with business and performance requirements. ✔ Monitoring, Troubleshooting & Optimization Set up proactive monitoring and alerting systems for pipelines and data workflows. Troubleshoot and resolve production issues related to data processing. Perform

performance tuning

to enhance pipeline efficiency and reduce processing time and cost. ✔ Cross-functional Collaboration Collaborate closely with

data scientists, analysts, and business stakeholders . Translate business requirements into reliable, high-quality technical solutions. Communicate effectively across technical and non-technical teams. Required Skills & Qualifications 7+ years of hands-on experience in

Data Engineering . Strong expertise in

Azure Databricks, Azure Data Lake Storage, Spark, SQL/T-SQL, ETL/ELT pipelines, Python . Solid understanding of

data warehousing concepts , data integration strategies, and transformation frameworks. Proven experience in

monitoring, debugging, and performance optimization

of data pipelines. Strong analytical, problem-solving, and communication skills. Bachelor’s degree in

Computer Science, Engineering , or related field. Preferred Skills Experience with

Power BI

for dashboards and reporting. Knowledge of

Azure Stream Analytics

for real-time data processing. Understanding of

data governance and security best practices . Why Join Us? Opportunity to work on modern Azure-based data architecture. Collaborative and growth-focused work environment. Competitive compensation aligned with expertise. Interested candidates can apply via LinkedIn or share their CV at priyanka.jadhav@philodesigntech.com. Tag or share this post to help reach the right talent!