Data Engineer

Data Immediate - 15 days joiners Experience- 5+ Responsibilities (Must-Haves) :

• 5+ years of experience in dashboard story development, dashboard creation, and data engineering pipelines .
• Hands-on experience with log analytics, user engagement metrics, and product performance metrics .
• Ability to identify patterns, trends, and anomalies in log data to generate actionable insights for product enhancements and feature optimization .
• Collaborate with cross-functional teams to gather business requirements and translate them into functional and technical specifications.
• Manage and organize large volumes of application log data using Google Big Query .
• Design and develop interactive dashboards to visualize key metrics and insights using any of the tool like Tableau Power BI , or ThoughtSpot AI .
• Create intuitive, impactful visualizations to communicate findings to teams including customer success and leadership.
• Ensure data integrity, consistency, and accessibility for analytical purposes.
• Analyse application logs to extract metrics and statistics related to product performance, customer behaviour, and user sentiment .
• Work closely with product teams to understand log data generated by Python-based applications .
• Collaborate with stakeholders to define key performance indicators (KPIs) and success metrics.
• Can optimize data pipelines and storage in Big Query .
• Strong communication and teamwork skills .
• Ability to learn quickly and adapt to new technologies.
• Excellent problem-solving Responsibilities (Nice-to-Haves) :
• Knowledge of Generative AI (GenAI) and LLM-based solutions .
• Experience in designing and developing dashboards using ThoughtSpot AI .
• Good exposure to Google Cloud Platform (GCP) .
• Data engineering experience with modern data warehouse Responsibilities :
• Participate in the development of proof-of-concepts (POCs) and pilot projects.
• Ability to articulate ideas and points of view clearly to the team.
• Take ownership of data analytics and data engineering Nice-to-Haves :
• Experience working with large datasets and distributed data processing tools such as Apache Spark or Hadoop .
• Familiarity with Agile development methodologies and version control systems like Git .
• Familiarity with ETL tools such as Informatica or Azure Data Factory

ref : hirist.tech)