Senior Data Systems Specialist

2 days ago

Surat, Gujarat, India beBeeData Full time ₹ 1,80,00,000 - ₹ 2,40,00,000
Job Opportunity

We are seeking a highly skilled Data Engineer to join our team.

Main Responsibilities:

  • Review and analyze existing data collection systems, making recommendations for improvement, maintenance, or other factors to enhance the system.
  • Supervise junior data engineering teams to ensure they meet business objectives.
  • Design, deploy, and maintain the organization's data platforms.
  • Identify opportunities for improving performance and efficiency of data platforms, implementing enhancements to meet service-level agreements (SLAs).
  • Collaborate with clients to understand their data-related needs, providing recommendations and delivering solutions that meet their requirements and expectations.

Required Skills:

  • Proficient in cloud platforms such as AWS, Azure, or Google Cloud Platform for deploying and managing data solutions in the cloud. Exposure to GCP is preferable.
  • 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).
  • Capable of resolving code errors and finding solutions for any issues in the pipeline.

Key Qualifications:

  • Skilled in handling numerous projects simultaneously.
  • Engage directly with end users to collect requirements and advise on data integration solutions.
  • 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.
  • A 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.
  • Excellent verbal and written communication skills are a must.

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