Lead Data Engineer

2 weeks ago


Chennai, Tamil Nadu, 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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