What you'll do:

• Contribute to the strategy, vision, architecture, and execution for data platform and self-serve data analytics systems
• Collaboration with Engineering teams to fulfill the data requirements to meet the needs of internal and external customers, ultimately contributing to the consumer user growth
• Work with data analytics tools such as PowerBI, tableau to generate reports and dashboards.
•  Work with large data systems, such as SQL/T-SQL, Hadoop, Presto, Kafka or Spark Engine (Azure Synapse/Databricks/HDInsight or other distributions)
• Provide relevant data to the customers and business teams to conceptualize and build dashboards that are simple, visually appealing, yet showcase a powerful story.
• Solve ambiguous problems using data and providing practical business insights.
• Passionate about doing POC’s, & introducing latest software/tools in market that helps in cost saving, job monitoring, logging, optimization, scalability and better customer experience

What makes you a great fit:

• Bachelor/Master degree, preferably in Mathematics, Statistics, Data science, Computer Science, Computer Engineering, or related field
• 3+ years of hands-on experience with big data technologies as well as data analytics tools, SQL or any querying language, ETL
• Experience working any of the public cloud platforms like Azure, AWS, GCP
• Data Warehousing & Data Modelling experience with star and snowflake schema
• Experience working with CI/CD pipeline
• Experience with coding in languages including, but not limited to Python, Scala
• Excellent data visualization skills to be able to present insights that drive business impact
• Excellent communication & collaboration skills
• Good to have experience working with machine learning models