Senior Data Engineer

Senior Data Engineer

Location: Mumbai/Bengaluru

Experience: 4+ years

Who We Are: 

The mission of the Finance Analytics team is to transform Vista into one of the world’s most iconic data driven companies through industry-leading data products and analytics capabilities.

Finance Analytics works across multiple business domains, mainly supporting FP&A, to build thoughtfully architected, performant, scalable, data products using the Vista Data Platform. We are looking for an experienced Data Engineer to join our team to automate our existing data products, build new data products, and enable advanced analytics capabilities for our FP&A team and beyond.

What You Will Do: 

• Build production grade data products including foundational data sets using technologies such as Snowflake, S3, Databricks (Spark), dbt, Airflow and more  
• Work directly with analysts, data engineers, product owners and business experts in a cross functional, agile, software development team
• Integrate data products with Vista suite of microservices for use in analytic solutions and customer facing features on our website or marketing channels
• Provide feedback for new features to the Finance Analytics team on existing data products

Your Qualifications: 

• Coding proficiency in at least one modern programming language, e.g.: Python.
• Strong skills in SQL
• Strong experience building complex ETL data pipelines with scheduling and monitoring (e.g., with DBT and or Airflow) for batch processing and real-time data
• Experience with cloud services in AWS (Preferred), Azure or Google
• Experience handling large volume data as well as both structured/unstructured data of various quality
• Degree in Computer Science, Engineering, Mathematics, or a related field  
• Problem solving and multi-tasking ability in a fast-paced, globally distributed environment  
• Proven ability to communicate effectively across all levels of the organization

Nice to Have: 

• Familiarity with OLAP (On-Line Analytical Processing) would be a plus
• Experience with NoSQL databases and Hadoop ecosystem (especially streaming data)
• Statistics experience is a big plus!

• Familiarity with APIs/microservices (REST)