Senior Data Engineer

2 weeks ago

Delhi, Delhi, India Flodata Analytics Full time US$ 90,000 - US$ 1,20,000 per year

Job Title: Senior Data Engineer

Experience: 2-3 yrs

Job Type: Full-Time

Shift Timing pm to 2.30-3am IST

At Flodata Analytics, we are seeking a Senior Data Engineer to join our team. The ideal candidate will be a technical leader with a passion for transforming data into strategic business insights. This role requires a high degree of proficiency in SQL and Tableau, with solid Python skills to support automation and backend processes.

Key Responsibilities:

  • Lead Business Intelligence & Analytics:

  • Design, develop, and maintain advanced Tableau dashboards and reports that provide actionable insights to senior leadership and business stakeholders.

  • Serve as the subject matter expert on data visualization and storytelling, ensuring all reporting is clear, accurate, and impactful.

  • Mentor and guide junior analysts in best practices for data visualization, SQL optimization, and dashboard designs

  • Advanced Data Management & Optimization:

  • Architect and optimize complex SQL queries, database schemas, and data pipelines to ensure high-performance data retrieval and reporting.

  • Implement strategies to optimize Tableau extracts and database connections, significantly reducing dashboard load times

  • Backend Automation & Process Improvement:

  • Develop and maintain Python scripts to automate key data processes, from ETL workflows to reporting tasks.

  • Contribute to architectural decisions for data pipelines, reporting, and automation.

Required Skills & Qualifications

  • SQL: Deep understanding of database design, query optimization, and complex joins. Ability to write highly efficient, maintainable, and robust SQL queries. Experience with stored procedures, functions, and performance tuning is essential.
  • Tableau: Strong knowledge on Tableau, with ability to create sophisticated, interactive, and visually compelling dashboards. Experience with advanced calculations, level-of-detail (LOD) expressions, and performance optimization techniques for large datasets.
  • Python: Comfortable with Python for scripting, automation, and backend development. Write clean, reusable code and be familiar with libraries like Pandas and SQLAlchemy for data manipulation and database interactions:
  • Strong problem-solving and analytical skills.
  • Excellent communication and team collaboration.
  • Ability to manage multiple tasks, priorities, and deadlines.
  • Proactive learner with a mindset to improve processes and systems.

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