Chief Data Infrastructure Specialist

2 days ago


Varanasi, Uttar Pradesh, India beBeeData Full time ₹ 10,00,000 - ₹ 25,00,000
Job Title: Data Architect

We are seeking an experienced data architect to join our organization.

Key Responsibilities:

  • Review and analyze existing data systems, making recommendations on improvement and maintenance.
  • Design, deploy, and maintain data platforms that meet business needs.
  • Collaborate with clients to understand their data-related needs and deliver solutions that meet their requirements.

Required Skills and Qualifications:

  • Proficient in cloud platforms such as AWS, Azure, or Google Cloud Platform for deploying and managing data solutions.
  • 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).

Benefits:

  • Opportunity to work with a talented team of professionals.
  • Chance to develop skills and expertise in data engineering.
  • Professional growth and career advancement opportunities.

Others:

  • 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.

Technical Skills:

  • 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).


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