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Data Engineer

Data Engineer

Cynosure Corporate SolutionsChennai
23 days ago
Job description

Key Responsibilities :

  • Design, develop, and maintain robust data pipelines to enable seamless data flow into Snowflake and other storage solutions.
  • Implement efficient ETL / ELT processes using DBT and orchestration tools like Apache Airflow.
  • Collaborate with data analysts, product teams, and stakeholders to gather requirements and deliver effective, data-driven solutions.
  • Optimize and monitor data workflows to ensure performance, scalability, and reliability.
  • Manage and maintain RDBMS databases, with a focus on AWS RDS, ensuring security, availability, and performance.
  • Utilize Alteryx for data preparation, advanced analytics, and automation of repetitive data tasks.
  • Ensure adherence to data quality, integrity, and governance best practices across all pipelines and processes.
  • Document data architecture, pipeline designs, and workflows to enable effective knowledge sharing within the team.

Skills & Qualifications :

  • Bachelors degree in Computer Science, Information Technology, or a related field.
  • 3+ years of experience in Data Engineering or similar roles.
  • Strong proficiency in Snowflake, including data modeling and performance optimization.
  • Hands-on experience implementing DBT (Core or Cloud) in production environments.
  • Advanced SQL skills, including complex queries, window functions, and Common Table Expressions (CTEs).
  • Familiarity with orchestration tools like Apache Airflow and version control systems (e.g., Git).
  • Experience with AWS services, specifically RDS, S3, EventBridge, and Lambda.
  • Practical experience in using Alteryx for data preparation and advanced analytics workflows.
  • Strong understanding of RDBMS principles, data warehousing concepts, and data governance practices.
  • Excellent problem-solving, communication, and collaboration skills.
  • Preferred : Experience with visualization tools such as Tableau or Power BI.
  • Preferred : Exposure to machine learning frameworks and concepts.
  • (ref : hirist.tech)

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