Data Quality Analyst

Mumbai, Maharashtra, India Full-time

Bookmyshow is an organization which firmly believes in innovation and transformation. Over the years, it transformed itself from a pure online ticketing player to be India’s biggest go-to destination for entertainment, continues to innovate and venture into new verticals to grow the market as well as increase its share in the entertainment value chain. Data & technology are deeply rooted in the organization which bridges all the decisions across business, product and engineering functions. 

Bookmyshow Data team is looking to hire Data Quality Analyst (s) who will be responsible for streaming varieties of data from various sources to data lake and warehouse, powering BI / Analytical teams use cases.

Responsibilities include:-

  • Requirement gathering, design, and implementation of ETL processes  
  • Support and prioritization of ad-hoc requests 
  • Set up practices on data sanitization, validation, and continuous monitoring
  • Provide excellence, open to new ideas and contribute to communities
  • Collaborate with multiple groups and produce operational efficiency

Qualifications:-

  • BE/MCA  in CS/IT or equivalent
  • 3+ years of experience in ETL techniques and processes

Skills:-

  • Strong experience in ETL, Data warehouse, Data lake
  • Expertise in SQL querying skills and data analysis (Strongly recommended)
  • Hands-on experience in big data technologies like hadoop and spark
  • Experience in data flow technologies like Nifi / HDFlow / Alteryx
  • Experience in Bigdata/Hadoop/Spark testing using unit tests
  • Expertise in at least one programming language - Java / Python / Scala
  • Able to Load and transform large sets of semi/structured/unstructured data
  • Test scenarios/Test case Designer & Tester
  • Experience in converting mapping documents and transformation requirements into a testing strategy, test cases and test data
  • Experience creating SQL/SAS QA checks to test data integration and data transformation
  • Must possess strong written and verbal communications skills to present findings and recommendations