Data Engineer

4 weeks ago

Indore, India Resources valley Full time

Data EngineerLocation : Jaipur/IndoreNotice : Immediate joiners 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)

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