Key Responsibilities

- Design, develop, and optimize ETL/ELT pipelines for large-scale data processing.
- Build and maintain data engineering solutions using Apache Spark, Databricks, SQL, and Python.
- Develop batch and real-time data ingestion frameworks.
- Design and implement enterprise data warehouses, data marts, and lakehouse architectures.
- Create and maintain logical and physical data models aligned with business requirements.
- Ensure data quality, governance, security, and compliance across data platforms.
- Develop streaming data solutions using event-driven architectures and real-time processing frameworks.
- Use Azure Data Factory (ADF), Azure Synapse Analytics, and other Azure data services for data orchestration and transformation.
- Collaborate with data scientists, analysts, and business stakeholders to deliver data-driven solutions.
- Monitor, troubleshoot, and optimize data platform performance, scalability, and reliability.

Required Skills and Qualifications

- 7+ years of experience in Data Engineering.
- Strong knowledge of data engineering and data architecture.
- Hands-on experience developing ETL/ELT pipelines.




- Proficiency in Apache Spark and Databricks.
- Strong SQL and Python programming skills.
- Experience with data warehousing and data modeling.
- Knowledge of data quality, governance, and data management practices.
- Experience with streaming data processing.
- Hands-on experience with Azure Data Factory (ADF).
- Experience with Azure Synapse Analytics and Azure Data Lake Storage (ADLS).
- Strong understanding of performance tuning and optimization.
- Positive analytical, problem-solving, and stakeholder management skills.

Preferred Qualifications

- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
- Experience with CI/CD, DevOps, and cloud-based data platforms.
- Azure Data Engineer Associate certification.

Pay: ₹1,000,000.00 - ₹1,440,000.00 per year

Application Question(s):

- By applying, you agree that your resume and personal details may be stored securely for up to 2 years for recruitment purposes.

Work Location: Hybrid remote in Bangalore City, Bengaluru, Karnataka

📌 Senior Data Engineer (Bengaluru)
🏢 Ananta Services
📍 Bengaluru