Senior Data Platform Engineer

3 weeks ago


Remote, India Cloudcover Consultancy Private Limited Full time

Job Overview

The Data Engineer will play a crucial role in designing and building modern data platforms to support data-driven decision making. This position will be responsible for executing technical implementation of data engineering and visualization projects.

Key Responsibilities

  • Design, implement, and develop data pipelines to collect and process large amounts of data from various sources.
  • Implement data storage solutions that are scalable, secure, and efficient, such as data warehouses and databases.
  • Develop and implement data validation and testing processes to ensure that data is processed accurately and efficiently.
  • Automate data collection, processing, and reporting processes to minimize manual work and improve efficiency.
  • Contribute to the development of reusable, repeatable collateral for use across the practice.
  • Implement data quality checks and validation processes to ensure the accuracy, consistency, and security of data.
  • Monitor data pipelines and processes, troubleshoot issues, and implement solutions to prevent recurrence.

Qualifications

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • 3 to 5 years of experience in data management, data engineering, or data visualization.
  • Excellent problem-solving, organization, debugging, and analytical skills.
  • Ability to work independently and in a team environment.
  • Excellent communication skills for effectively expressing ideas to team members and clients.
  • Understanding of relational database concepts and SQL querying.
  • Knowledge of cloud computing platforms, such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure.
  • Experience building data pipelines with ETL tools/Equivalent Cloud services, such as Azure Data Factory, dbt, AWS Glue, Matillion or equivalent.
  • Familiarity with data warehousing solutions, such as Amazon Redshift, Snowflake, Google BigQuery, or Azure Synapse.
  • Experience with visualization tools, such as Power BI, Looker, Tableau, and QuickSight.

Benefits

  • Competitive salary and benefits package.
  • Opportunities for professional growth and development.
  • A collaborative and dynamic work environment.
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