Data Engineer

Data Engineer

Location- Jaipur/Indore

Notice- Immediate - 15 days joiners only

Relevant Experience- 5+ year

Basic 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 skills

  .

Preferred 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 architectures

  .

Additional 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 solutions

  .

Additional 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