High-Performance Data Engineering Specialist

1 week ago

Chennai, Tamil Nadu, India beBeeDataEngineering Full time ₹ 15,00,000 - ₹ 25,00,000
Senior Data Engineer

    Overview of the Role

  • We are seeking an experienced Senior Data Engineer to lead our team in designing, deploying and maintaining data platforms.
  • As a key member of our engineering team, you will work closely with clients to understand their data-related needs, provide recommendations and deliver solutions that meet their requirements and expectations.
  • The ideal candidate will have extensive experience in cloud platforms such as AWS, Azure or Google Cloud Platform for deploying and managing data solutions in the cloud.
  • Additionally, strong expertise in building and optimizing ETL processes to efficiently move and transform data between various systems and storage solutions is required.
Key Responsibilities:

    

  • Review and analyze existing data collection systems, and make recommendations on improvement, maintenance, or other factors to improve the system.
  • Supervise junior data engineering teams to ensure they carry out their duties in line with the business's goals.
  • Design, deploy and maintain the organization's data platforms.
  • Identify opportunities for improving the performance and efficiency of data platforms and implement enhancements to meet service-level agreements (SLAs).
Requirements:

    

  • Proficient in cloud platforms such as AWS, Azure or Google Cloud Platform for deploying and managing data solutions in the cloud.
  • Strong expertise in building and optimizing ETL processes to efficiently move and transform data between various systems and storage solutions.
  • Knowledge of data warehousing concepts and experience working with data warehouse solutions like Amazon Redshift, Snowflake or Google BigQuery.
  • Extensive understanding of Python and advanced SQL, with the skill to create efficient queries.
  • Familiarity with big data technologies such as Apache Hadoop, Apache Spark and related tools for processing and analyzing large volumes of data.
  • Experience in managing and optimizing relational databases (e.g. MySQL, PostgreSQL) and NoSQL databases (e.g. MongoDB, Cassandra).
Skills and Qualifications:

    

  • Leadership qualities to guide and mentor junior team members, contributing to their professional development.
  • Strong analytical and problem-solving skills to address challenges and troubleshoot issues in data engineering processes.
  • Meticulous approach to ensure data accuracy, quality and adherence to best practices in data engineering processes.
  • Enthusiasm for continuous learning to stay updated on industry trends, emerging technologies and best practices in data engineering.

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