Azure Synapse/8-12 Years/Hyd, Bangalore, Chennai, Pune and Noida

Experience: 8 years 12 years

CTC - 27 LPA-30LPA

Location: Hyd, Bangalore, Chennai, Pune and Noida.

Notice period-15days max

Mandatory Skills

Azure Data Factory (ADF),

Azure Databricks,

Python or Pyspark

Sql

MetaData

Detailed Responsibilities

• Lead the end-to-end technical implementation of data integration and processing projects utilizing Azure Data Factory (ADF), Azure Databricks, MS SQL, MetaData,Oracle PL/SQL, and Python.
• Design, develop, and implement efficient and reliable ETL processes for large and complex datasets.
• Architect and build metadata-driven frameworks and end-to-end data pipelines, including Azure Synapse and PySpark notebooks.
• Collaborate with cross-functional teams to gather business requirements and translate them into scalable technical data solutions.
• Optimize data workflows, troubleshoot technical issues, and ensure the quality, accuracy, and integrity of data.
• Establish and enforce best practices for data security, governance, and compliance in line with organizational and industry standards.
• Provide technical leadership, guidance, and mentorship to junior team members, fostering a culture of continuous learning and innovation.
• Stay current with the latest advancements in data engineering, analytics, and Azure technologies, proactively recommending improvements.
• Communicate effectively with stakeholders, presenting technical concepts and project updates in a clear and business-aligned manner.

Skill Requirements

• Extensive hands-on experience with Azure Data Factory (ADF) and Azure Databricks for data integration and transformation.
• Advanced proficiency in MS SQL and Oracle PL/SQL for database development, management, and complex query optimization.
• Strong programming skills in Python for automation, scripting, and data manipulation tasks.
• Expertise in large-scale data processing and analytics using Azure Synapse and PySpark notebooks.
• Solid understanding of data warehousing concepts, data modeling, and building efficient ETL frameworks.
• Proven ability to design and implement metadata-driven data pipelines and notebooks.
• Demonstrated analytical approach, troubleshooting ability, and attention to detail in data engineering projects.
• Strong communication and interpersonal abilities for effective collaboration with technical and non-technical stakeholders.

Bachelors degree (or higher) in Computer Science, Information Technology, Engineering, or a related field