Azure Data engineer
Role summary
We are seeking an experienced Azure Data Engineer for a 12-month hybrid contract role. The primary responsibilities include designing, developing, and maintaining ETL frameworks, and building/optimizing data pipelines using Azure Data Factory (ADF), Azure Databricks (ADB), PySpark, and SQL. The role also involves architecting scalable and efficient data integration solutions. Essential skills include strong expertise in ADF, ADB, PySpark, SQL, and architecting ETL frameworks. Desirable skills include experience in Data Analysis, knowledge of SQL querying tools, Azure Big Data technologies, data mapping, reporting, data management methodologies, and ETL processes.
Job Description: Role: Azure Data Engineer
Duration: 12 Months
Work Model: Hybrid (2 days on-site per week, 9:00 AM – 5:00 PM)
Require - 10 years experience
Primary Responsibilities
Design, develop, and maintain ETL frameworks Build and optimize data pipelines using:
Azure Data Factory (ADF)
Azure Databricks (ADB)
PySpark
SQL
Architect scalable and efficient data integration solutions
Essential Skills
Strong expertise in:
Azure Data Factory (ADF)
Azure Databricks (ADB)
PySpark
SQL
Experience in architecting ETL frameworks
Experience Required
4–6 years of experience in Data Engineering
Desirable Skills
3–5 years of experience in Data Analysis Strong knowledge of:
SQL and data querying tools (SQL Developer, TOAD) Azure Big Data technologies Data mapping and reporting
Understanding of:
Data management methodologies and systems ETL processes and data warehousing concept
Technical & Functional Skills
Experience with tools and platforms:
MySQL
PySpark
MS Office
Jira / Confluence (Agile tools)
Familiarity with:
Data encryption
Logging & monitoring
Security tools
Ability to read and understand architecture and network documentation
Soft Skills
Strong analytical and problem-solving skills Effective oral and written communication Ability to work independently and within a team Strong organizational and prioritization skills Capability to manage multiple deadlines Sound decision-making and judgment Ability to handle confidential information with discretion Strong collaboration and relationship-building skills Ability to identify, assess, and escalate risks/issues
Keywords
Data Analysis | SQL | Azure Big Data | Data Mapping | TOAD | PySpark | MySQL
