Lead Data Engineer

4 weeks ago

Chennai, India Cynosure Corporate Solutions Full time

About the Role : We are seeking a highly skilled and experienced Senior / Lead Data Engineer to design, develop, and maintain scalable, reliable, and efficient data pipelines and ETL solutions. The role requires strong expertise across multi-cloud environments, modern data warehousing platforms, programming languages, and data orchestration tools. You will play a pivotal role in transforming raw data into actionable insights, ensuring data quality, and enabling analytics and reporting initiatives across the : - Design, build, and optimize complex ETL/ELT data pipelines using Python, PySpark, Scala, and advanced SQL.- Implement and manage ETL processes using Informatica PowerCenter, Databricks, AWS Glue, and Snowflake.- Develop and deploy scalable data solutions across AWS, Azure, GCP, and Microsoft Fabric using cloud-native services.- Manage and optimize databases, including Redshift, SQL Server, and AWS RDS.- Orchestrate and monitor data workflows with Apache Airflow to ensure reliable and timely delivery.- Implement streaming solutions with Apache Kafka and containerized services with Kubernetes.- Automate data workflows and system monitoring using Unix shell scripting.- Apply CI/CD practices to data pipelines and enforce Data Cleanroom principles for privacy-compliant collaboration.- Collaborate with BI/reporting teams to deliver optimized datasets for Tableau, Looker, and Power BI.- Troubleshoot and resolve performance issues in pipelines and database queries.- Maintain detailed technical documentation and collaborate closely with cross-functional teams.Qualifications : - Bachelors or Masters degree in Computer Science, Engineering, Information Technology, or a related field.- Experience : 5+ years for Senior Data Engineer, 8+ years for Lead Data Engineer.- Languages : Proficiency in SQL, Python (including PySpark), Scala, and Unix Shell Scripting.- ETL Tools : Hands-on experience with Informatica PowerCenter, Databricks, and AWS Glue.- Data Warehousing : Expertise in Snowflake and Redshift.- Cloud Platforms : Strong exposure to at least two of AWS, Azure, and GCP; familiarity with Microsoft Fabric.- Databases : Solid knowledge of Redshift, SQL Server, and AWS RDS.- Orchestration : Proven experience with Apache Airflow.- Streaming & Containerization : Practical experience with Apache Kafka and Kubernetes.- Concepts : Working knowledge of CI/CD pipelines and Data Cleanroom practices.- Reporting Tools : Understanding of data provisioning for Tableau, Looker, or Power BI.- Strong problem-solving skills, communication ability, and a proactive approach to emerging technologies. (ref:hirist.tech)

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