Data Solutions Engineer

3 weeks ago


Mumbai, Maharashtra, India Square Panda Full time
Position Overview

The Data Solutions Engineer will play a crucial role in designing and implementing data pipelines, preparing data for analysis, and collaborating with stakeholders to generate insights that drive business improvements. This individual contributor position will have a split of 70% technical and 30% functional responsibilities.

Key Responsibilities
  1. Business/Data Understanding
  • Collaborate with project managers, business analysts, and other stakeholders to understand the data generated from various government and educational projects.
  • Identify key business questions and challenges that can be addressed using the captured data.
  • Translate business needs into data-driven solutions.
Data Preparation
  • Design and implement ETL processes to extract, transform, and load data from diverse sources into data warehouses or other storage systems.
  • Ensure data integrity, consistency, and quality during the preparation phase.
  • Work on data cleaning, transformation, and normalization to make data analysis-ready.
Modeling of Data
  • Develop and maintain data models that represent the underlying structure of the data.
  • Ensure that data models are scalable and adaptable to different use cases and future needs.
  • Work closely with analysts to ensure that data models align with business requirements.
Evaluation and Stakeholder Empowerment
  • Analyze data to generate insights that can be used to improve products and projects.
  • Create dashboards, reports, and visualizations that help stakeholders understand the data and make informed decisions.
  • Provide recommendations based on data analysis to support strategic business decisions.
Continuous Improvement
  • Identify and implement opportunities for improving data processes and systems.
  • Stay up-to-date with the latest data technologies and methodologies to ensure best practices are applied.
Qualifications
  • Bachelor's degree in Computer Science, Data Engineering, or a related field.
  • 3+ years of experience in data engineering or a similar role.
  • Proficient in SQL, Python, and ETL tools.
  • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and data visualization tools (e.g., Tableau, Power BI).
  • Strong problem-solving skills with the ability to translate business needs into technical solutions.
  • Excellent communication skills, capable of explaining complex technical concepts to non-technical stakeholders.


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