Data Engineer
Company: VVP Soft Tech
Location: Noida
Work Mode: Hybrid (3 Days Work From Office per Week)
Experience Required: 6+ Years
Compensation: Up to ₹1,00,000 per month + GST
We are looking for a highly skilled Data Engineer with strong expertise in Azure Data Engineering technologies to design, develop, and optimize scalable data solutions. The ideal candidate will have hands-on experience with Azure Data Factory, Azure Databricks, PySpark, Data Warehousing, and modern ETL/ELT frameworks. Experience with SAP BODS and Databricks/Snowflake is essential.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT data pipelines.
- Build and optimize data processing solutions using Azure Data Factory (ADF) and Azure Databricks.
- Develop data transformation workflows using PySpark.
- Implement and manage Medallion Architecture for data lakehouse solutions.
- Design and maintain dimensional and relational data models.
- Collaborate with business and technical stakeholders to understand data requirements and deliver effective solutions.
- Ensure data quality, integrity, security, and governance standards are maintained.
- Optimize SQL queries and data processing performance.
- Support data warehousing initiatives and reporting requirements.
- Participate in code reviews, testing, deployment, and CI/CD processes.
Mandatory Requirements
- 6+ years of overall experience in Data Engineering.
- Minimum 3+ years of hands-on experience with Azure Data Factory (ADF).
- Minimum 3+ years of experience with Azure Databricks.
- Strong experience in ETL/ELT pipeline development using PySpark.
- Hands-on experience with Medallion Architecture.
- Minimum 2 years of experience with SAP BODS (SAP Business Objects Data Services).
- Strong SQL programming skills.
- Expertise in Dimensional and Relational Data Modeling.
- Solid understanding of Data Warehousing concepts.
- Hands-on experience with Databricks and/or Snowflake.
Preferred Skills
- Experience working with Azure, AWS, or GCP cloud platforms.
- Knowledge of Spark and Hadoop ecosystems.
- Programming experience in Python, Scala, or Java.
- Exposure to CI/CD practices and DevOps workflows.
- Understanding of Data Governance and Data Quality frameworks.
What We Offer
- Opportunity to work on modern cloud-based data platforms.
- Hybrid work environment with flexibility.
- Collaborative and growth-oriented team culture.
- Competitive compensation package.
Interested candidates are encouraged to apply with their updated resume for immediate consideration.
Pay: ₹100,000.00 per month
Work Location: In person
