Job Summary : We are looking for an experienced Senior Data Engineer to design, develop and maintain scalable data pipelines, data platforms and cloud-based data infrastructure. The ideal candidate should have solid expertise in data engineering, ETL/ELT processes, big data technologies, cloud platforms and data warehousing.Key Responsibilities : - Design, develop and maintain scalable data pipelines and ETL/ELT workflows.- Build and optimize data processing frameworks for structured and unstructured data.- Develop data integration solutions across multiple internal and external systems.- Work with large datasets using distributed computing technologies.- Design and maintain data warehouses, data lakes and lakehouse architectures.- Implement batch and real-time data processing pipelines.- Optimize data storage, processing performance and query execution.- Collaborate with Data Scientists, AI Engineers, Business Analysts and Software Engineers.- Ensure data quality, governance, security and compliance.- Implement automated data pipeline monitoring and error-handling mechanisms.- Manage cloud-based data infrastructure and deployment workflows.- Support AI/ML teams by providing reliable, high-quality data pipelines.Required Technical Skills :



- Programming : Python, SQL, PySpark, Scala- Big Data Technologies : Apache Spark, Hadoop, Kafka- ETL/ELT Tools : Apache Airflow, dbt, Informatica- Cloud Platforms : AWS, Microsoft Azure, GCP- Data Warehousing : Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse- Databases : PostgreSQL, MySQL, MongoDB- Data Lakes : Delta Lake, Apache Iceberg, AWS S3- Data Processing : Batch Processing, Stream Processing, Real-Time Analytics- DevOps & Deployment : Docker, Kubernetes, CI/CD, Terraform- Data Governance : Data Quality, Data Lineage, Metadata ManagementExperience & Qualifications : - 6 - 11 years of overall experience in Data Engineering or related fields.- Minimum 4 - 5 years of hands-on experience in data engineering.- Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering or a related field.Preferred Certifications : - AWS Certified Data Engineer - Associate- Google Professional Data Engineer- Microsoft Certified : Fabric Data Engineer Associate- Snowflake SnowPro Core Certification- Databricks Certified Data Engineer Associate (ref:hirist.tech)

📌 Senior Data Engineer (AWS, SQL, Python) (Delhi)
🏢 Good
📍 Delhi