Principal Data Scientist

2 weeks ago

Morādābād, Uttar Pradesh, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Senior Data Engineer

We are seeking a highly skilled professional to join our data engineering team. As a key member, you will be responsible for designing, deploying, and maintaining our organization's data platforms.

  • Key Responsibilities:
  • Analyzing existing data collection systems and making recommendations for improvement, maintenance, or other factors to enhance the system.
  • Supervising junior data engineering teams to ensure they meet business goals.
  • Designing, deploying, and maintaining data platforms.
  • Improving the performance and efficiency of data platforms and implementing enhancements to meet service-level agreements (SLAs).
  • Collaborating with clients to understand their data-related needs, providing recommendations, and delivering solutions that meet their requirements and expectations.
  • Tech Requirements:
  • Proficiency 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).
  • Soft Skills:
  • Ability to handle numerous projects simultaneously.
  • Excellent communication skills to engage directly with end users 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.
  • 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.
  • Requirements:
  • Bachelor's degree in Computer Science or related field.
  • At least 5 years of experience in data engineering.

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