P99Soft - Senior Data Engineer - SQL/Python

15 hours ago

Hyderabad, India P99SOFT PRIVATE LIMITED Full time

About the Role: We are seeking a highly skilled Senior Data Engineer with strong expertise in Snowflake, SQL, and Python to design, build, and optimize our data ecosystem. You will play a critical role in creating scalable data pipelines, ensuring high data quality, and supporting analytics and AI/ML initiatives across the organization. This position is ideal for someone who enjoys solving complex data problems and building enterprise-grade data platforms. Key Responsibilities :- Design, build, and maintain scalable ETL/ELT pipelines using Snowflake, Python, and related tools. - Automate data ingestion from multiple structured and unstructured sources (APIs, databases, cloud storage, etc.). - Implement pipeline monitoring, error handling, retry logic, and alerts. - Develop and maintain Snowflake objects such as schemas, tables, views, streams, tasks, stages, and warehouses. - Optimize Snowflake performance through warehouse sizing, clustering, micro-partitioning, and query tuning. - Implement data sharing, secure views, role-based access models, and data governance practices. - Write complex, high-performance SQL queries for data transformation and analytics. - Design and implement data models (3NF, Star/Snowflake schema) that support BI and analytics use cases. - Implement data quality frameworks, validation checks, and reconciliation processes. - Use Python for data transformation, ingestion frameworks, API integration, and ETL automation. - Build reusable components, libraries, and scripts for workflow orchestration. - Set up continuous monitoring of pipelines, Snowflake performance, and data quality metrics. - Ensure data privacy, compliance, and security using best practices (RBAC, masking policies, encryption). - Troubleshoot complex data and performance problems. - Partner with data analysts, BI developers, and data scientists to understand requirements and deliver reliable datasets. - Collaborate with DevOps/Cloud teams on infrastructure provisioning, CI/CD, and deployment. - Provide technical mentorship to junior engineers. Required Skills & Experience :- 5+ years of hands-on experience in Data Engineering, with at least 3+ years in Snowflake. - Strong expertise in Snowflake SQL, Snowflake components, and performance tuning. - Proficiency in Python for building scalable ETL/ELT workflows. - Strong understanding of ETL processes, data integration patterns, and data warehousing concepts. - Experience with data modeling (dimensional & relational). - Knowledge of cloud platforms (AWS / Azure / GCP); familiarity with S3, Lambda, Databricks, or similar is a plus. - Experience using workflow orchestration tools (Airflow, DBT, Prefect, etc.) is an advantage. (ref:hirist.tech)

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