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Lead Data Fabric Engineer

2 months ago

Hyderabad, Telangana, India Accellor Full time

Job Title: Lead Data Fabric Engineer

Job Summary: We are seeking an experienced Lead Data Fabric Engineer to join our team at Accellor. The successful candidate will have extensive experience in developing ETL processes using PySpark Notebooks and Microsoft Fabric, as well as supporting existing legacy SQL Server environments.

Key Responsibilities:

  • Design, develop, and maintain ETL pipelines using PySpark Notebooks and Microsoft Fabric.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver efficient data solutions.
  • Migrate and integrate data from legacy SQL Server environments into modern data platforms.
  • Optimize data pipelines and workflows for scalability, efficiency, and reliability.
  • Provide technical leadership and mentorship to junior developers and other team members.
  • Troubleshoot and resolve complex data engineering issues related to performance, data quality, and system scalability.
  • Develop, maintain, and enforce data engineering best practices, coding standards, and documentation.
  • Conduct code reviews and provide constructive feedback to improve team productivity and code quality.
  • Support data-driven decision-making processes by ensuring data integrity, availability, and consistency across different platforms.

Requirements:

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
  • Experience with Microsoft Fabric or similar cloud-based data integration platforms is a must.
  • 10+ years of experience in data engineering, with a strong focus on ETL development using PySpark or other Spark-based tools.
  • Proficiency in SQL with extensive experience in complex queries, performance tuning, and data modeling.
  • Strong knowledge of data warehousing concepts, ETL frameworks, and big data processing.
  • Familiarity with other data processing technologies (e.g., Hadoop, Hive, Kafka) is an advantage.
  • Experience working with both structured and unstructured data sources.
  • Excellent problem-solving skills and the ability to troubleshoot complex data engineering issues.
  • Proven ability to work independently, as part of a team, and in leadership roles.
  • Strong communication skills with the ability to translate complex technical concepts into business terms.

Preferred Skills:

  • Experience with Azure Data Services, including Azure Data Factory, Azure Synapse, or similar tools.
  • Knowledge of scripting languages (e.g., Python, Scala) for data manipulation and automation.
  • Familiarity with DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes) is a plus.

About Accellor:

Accellor is a leading provider of data engineering services, working with top brands across various industries. We offer a collaborative environment, flexible work schedules, and opportunities for professional growth and development.

Benefits:

  • Competitive salaries and bonuses
  • Flexible work schedules and remote work options
  • Professional development opportunities and training programs
  • Comprehensive health insurance and other benefits

How to Apply: If you are a motivated and experienced data engineer looking for a new challenge, please submit your resume and cover letter for consideration.