Chief Data Pipeline Architect

7 hours ago

Belgaum, Karnataka, India beBeeDataEngineer Full time ₹ 1,80,00,000 - ₹ 2,50,00,000
Senior Data Engineer Position

We are seeking an accomplished Senior Data Engineer to spearhead the development, maintenance, and optimization of our data infrastructure. This critical role requires a seasoned professional with expertise in designing and implementing large-scale data pipelines, leveraging cloud services, and ensuring seamless integration with existing systems.

The ideal candidate will have a solid understanding of data warehousing concepts, experience working with Snowflake, and proficiency in AWS Cloud services. Additionally, they should be well-versed in Apache Airflow, Python, and SQL scripting, with excellent problem-solving skills and ability to design and implement solutions based on business requirements.

This is an exciting opportunity for a senior data engineer to join our team and contribute to the development of cutting-edge data solutions. If you are a motivated and experienced professional looking to take your career to the next level, we encourage you to apply.

Responsibilities:

  • Design, develop, and maintain ETL/ELT data pipelines to ingest data from various sources into our data warehouse.
  • Hands-on experience with AWS Cloud services, including Lambda, DMS, and Glue.
  • Solid understanding of data warehousing concepts, with practical experience using Snowflake.
  • Develop and optimize Snowflake stored procedures to implement complex business logic and data transformations.
  • Manage and monitor scheduled data workflows using Apache Airflow.
  • Work closely with stakeholders to understand project requirements and translate them into technical solutions.
  • Implement and maintain robust data quality checks to ensure accuracy and reliability of all delivered datasets and reports.

Requirements:

  • 6+ years of experience in data engineering, preferably with a focus on cloud-based data solutions.
  • Strong proficiency in SQL scripting and data modeling.
  • Proficiency in Python for data manipulation and automation.
  • Excellent problem-solving skills and ability to design and implement solutions based on business requirements.
  • Experience with the full software development lifecycle (SDLC) and project documentation.

Bonus Points:

  • Familiarity with data quality best practices.
  • Strong communication and collaboration skills.
  • Experience with Power BI reporting.

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