Wolters Kluwer Hiring Drive 2024 For Data Engineer | Location Pune

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Wolters Kluwer Hiring Drive 2024: Wolters Kluwer Hiring Drive 2024 for its Data Engineer. Wolters Kluwer Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s Degree in Computer Science or equivalent. if you are interested, please apply as soon as possible.

Company Name: Wolters Kluwer

Role: Data Engineer

Location: Pune

Experience: 1+ years

Qualification: Bachelor’s Degree in Computer Science or equivalent.

Batch: Any

Job Type: Full Time

Salary: 11.0 LPA (Expected)

Wolters Kluwer Hiring Drive 2024

Job Description:

  • Looking for a product software data engineer to help us to maintain accurate data into data warehouse using multiple technologies and also help in providing data insights by building visualization/dashboards.
  • You will also work with data science team to build data pipe lines for multiple projects.
  • Under guidance, helps develop, testing, debugging and implementing operating systems components, software tools, and utilities required for the operation, maintenance, and control of computer systems.
  • Helps modify existing software to fit specialized needs and configurations and maintains program libraries and technical documentation.


  • Bachelor’s Degree in Computer Science or equivalent.
  • Overall 2+ years of experience.
  • 1+ years of experience in AWS Cloud.
  • 1+ years of experience in AWS Glue or Talend ETL tool.
  • 1+ years of experience in data visualization tool like Power BI or Tableau.
  • Experience of writing and debugging complex SQLs.
  • Experience of transforming complex data structures like json, xml files.
  • Experience of working on AWS platform like S3, Redshift data warehouse.
  • Experience of working on Python will be preferred.
  • Experience of building APIs will be desirable.
  • Stay informed about relevant technology trends and developments whenever required.
  • Experience creating detailed technical documentation and analysis, while still able to understand the merits of others’ opinions.
  • Experience weighing specific technical tradeoffs to maximize impact for effort.
  • Highly motivated, organized, proactive self-starter and a team player.
  • Data-oriented personality.


  • Analyze data using state-of-the-art methods.
  • You need to build and maintain ETL jobs to keep data up to date in data warehouse from multiple sources like RDBMS, Salesforce, flat files, json files, DynamoDb etc.
  • You also need to create and maintain visualization/dashboards on variety of data using visualization tool.
  • Provide insights to business by analyzing complex data.
  • Assist data scientist in building data pipe lines.
  • Process, cleansing, and verifying the integrity of data used for analysis.
  • Do ad-hoc analysis and present results.
  • Create automated anomaly detection systems and constant tracking of its performance.
  • Work with users and internal resources to define and refine requirements.
  • Be an informal resource to less experienced colleagues with resolving technical issues
  • Participate in helping identify product and process changes to help the team move forward and better achieve its goals.
  • You will report to the Lead Engineer

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