Data Engineer

12 hours ago

Mysore, Karnataka, India Shashwath Solution Full time ₹ 9,00,000 - ₹ 12,00,000 per year

Technical Skills Required:

  • ETL Concepts:
  • Strong understanding of Extract, Transform, Load (ETL) processes
  • Ability to design, develop, and maintain robust ETL pipelines
  • Database Fundamentals:
  • Proficiency in working with relational databases (eg, MySQL, PostgreSQL, Oracle, or MS SQL Server)
  • Knowledge of database design and optimization techniques
  • Basic Data Visualization:
  • Ability to create simple dashboards or reports using visualization tools (eg, Tableau, Power BI, or similar)
  • Query Optimization:
  • Expertise in writing efficient, optimized queries to handle large datasets
  • Testing and Documentation:
  • Experience in validating data accuracy and integrity through rigorous testing
  • Ability to document data workflows, processes, and technical specifications clearly

Key Responsibilities:

  • Data Engineering Tasks:
  • Design, develop, and implement scalable data pipelines to support business needs.
  • Ensure data quality and integrity through testing and monitoring.
  • Optimize ETL processes for performance and reliability.
  • Database Management:
  • Manage and maintain databases, ensuring high availability and security.
  • Troubleshoot database-related issues and optimize performance.
  • Collaboration:
  • Work closely with data analysts, data scientists, and other stakeholders to understand and deliver on data requirements.
  • Provide support for data-related technical issues and propose solutions.
  • Documentation and Reporting:
  • Create and maintain comprehensive documentation for data workflows and technical processes.
  • Develop simple reports or dashboards to visualize key metrics and trends.
  • Learning and Adapting:
  • Stay updated with new tools, technologies, and methodologies in data engineering.
  • Adapt quickly to new challenges and project requirements.

Additional Requirements:

  • Strong communication skills, both written and verbal.
  • Analytical mindset with the ability to solve complex data problems.
  • Quick learner and willingness to adopt new tools and technologies as needed.
  • Flexibility to work in shifts, if required.

Preferred Skills (Not Mandatory):

  • Experience with cloud platforms (e.g., AWS, Azure, or GCP).
  • Familiarity with big data technologies such as Hadoop or Spark.
  • Basic understanding of machine learning concepts and data science workflows.

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