We are #Hiring: #Senior_Data_Engineer
Job Title : #Senior_Data_Engineer
Location : HYDERABAD - ( Hybrid)
Total Yrs. of Experience : 10+ Years
️ Duration: Contract to Hire (C2H)
Notice Period: Immediate Joiners to 30 Days
Job description*:
· We are seeking a Senior Data Engineer to drive cloud data modernization and build scalable, AI-ready data platforms. This role emphasizes expertise in Databricks, PySpark, Azure Data Factory, Logic Apps, and Airflow, with a strong focus on orchestration, pipeline reliability, and end-to-end data workflow management.
· #Key Responsibilities:
- Design, build, and maintain scalable data pipelines using Databricks (PySpark), ADF, Logic Apps, and Airflow
- Develop and manage end-to-end orchestration frameworks integrating Airflow DAGs with ADF and Logic Apps
- Implement advanced workflow orchestration patterns (event-driven, micro-batch, hybrid scheduling)
- Ensure pipeline dependency management, execution reliability, and operational excellence
- Build high-performance ETL/ELT pipelines using Databricks and Delta Lake architecture
- Implement data observability, monitoring, and alerting mechanisms across workflows
- Optimize pipelines and workflows for performance, scalability, and cost efficiency
- Integrate pipelines with Azure services such as ADLS Gen2, Blob Storage, and event triggers
- Implement CI/CD for pipelines and workflows using GitHub Actions or equivalent
- Ensure data quality, governance, and security compliance
- Collaborate with data science teams for ML/GenAI data readiness
- Mentor junior engineers and drive best practices for orchestration and pipeline design
· #Required Qualifications:
- 10+ years of experience in data engineering
- Highly proficient in Databricks (PySpark, Delta Lake), Azure Data Factory (ADF), Azure Logic Apps, and Apache Airflow
- Strong programming skills in Python and advanced SQL
- Experience in building orchestrated data platforms with multi-tool integration
- Strong understanding of ETL/ELT patterns and orchestration frameworks
- Experience in cloud-native data architectures (Azure preferred)
- Hands-on experience with monitoring, logging, and pipeline reliability
- Data Engineer (Databricks +Pyspark) JD + ADF/Logic Apps (Highly Proficient) + Airflow
#Mandatory skills*
SQL, Databricks, PySpark, Delta lake, Azure Data Factory, Logic Apps, and Airflow
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Thanks & Regards
Rajkiran.G
Technical Recruiter
Burgeon IT Services
Email Id:
Ph no: +91 9160720004
Website: www.burgeonits.com
Shirisha. Ch Sona P Thota Harika Ramya Sarige k Nitusha Kalyani R Sudha Yadav Veeraboina Syed Nazima Vara lakshmi kota Golagani Saikumar Shiva Kumar Rajkiran G Srikanth Vicky Khaja Mansoor Ahmed Kiran Gomasa Nagarjuna Duggineni vinay goud Masthanvali SHAIK Nanda Kishore Kumar Lakkakula @Laxmi Narayana (Raja) Arraganti palley Mahathi Navya Tumuluri BURGEON IT SERVICES