Chief Data Engineering Strategist

3 days ago

Bareilly, Uttar Pradesh, India beBeeDataArchitect Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Description

We are seeking an experienced Data Architect to join our team. As a key member of our data engineering and analytics team, you will be responsible for designing, developing, and maintaining scalable data pipelines and ETL processes to support downstream analytics and AI applications.

  • Design and develop scalable data pipelines and ETL processes to support downstream analytics and AI applications.
  • Collaborate with ML Engineers to integrate data solutions into machine learning models and workflows.
  • Work closely with clients to understand their data requirements and deliver tailored data solutions.
  • Ensure data quality, integrity, and security across all projects.
  • Optimize and manage data storage solutions in cloud environments (AWS, Azure, GCP).
  • Utilize Databricks for data processing and analytics tasks, leveraging its capabilities to enhance data workflows.
  • Monitor the performance of data pipelines, identify bottlenecks or failures, and implement improvements to enhance efficiency and reliability.
  • Implement best practices for data engineering, including documentation, testing, and version control.
  • Troubleshoot and resolve data-related issues in a timely manner.
Required Skills and Qualifications

The ideal candidate will possess the following skills and qualifications:

  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
  • 10+ years of experience as a Data Engineer or in a similar role.
  • Strong proficiency in SQL, Python, and other relevant programming languages.
  • Hands-on experience with Databricks and its ecosystem.
  • Familiarity with major cloud environments (AWS, Azure, GCP) and their data services.
  • Experience with data warehousing solutions like Snowflake, Redshift, or BigQuery.
  • Comfortable working with a variety of SQL, NoSQL and graph databases like PostgreSQL and MongoDB;
  • Knowledge of data integration tools.
  • Understanding of data modeling, data architecture, and database design.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.
Highly Desirable Skills

The following skills are highly desirable but not required:

  • Experience with real-time data processing frameworks (e.g., Apache Kafka, Spark Streaming).
  • Knowledge of data visualization tools (e.g., Tableau, Power BI).
  • Familiarity with machine learning concepts and frameworks.
  • Experience working in a client-facing role.

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