Senior Data Engineer
Wolters Kluwer21 hours ago
Pune, IndiaSenior
Responsibilities
- Translate business requirements and use cases into scalable data solutions.
- Design and develop optimized, reliable, and secure data pipelines for real-time and batch processing.
- Build real-time data solutions using Scala, Apache Spark, and Azure Databricks.
- Analyze business processes, identify gaps, and recommend data-driven improvements.
- Partner with data scientists and stakeholders to operationalize machine learning models.
- Champion data governance, metadata management, data quality, and operational excellence.
- Develop validation frameworks and monitoring mechanisms to ensure data integrity.
- Participate in coding standards, peer reviews, technical documentation, and knowledge sharing.
- Mentor junior engineers and collaborate with cross-functional teams.
Requirements
- At least 7 years of overall experience in data engineering or related fields.
- At least 5 years of experience building pipelines for structured and unstructured data.
- At least 2 years of experience with PySpark, Hadoop, Kafka, EventHub, and Stream Analytics.
- At least 3 years of experience with relational and dimensional data modeling, SQL Server, and data warehousing concepts.
- At least 3 years of experience with T-SQL, stored procedures, and performance tuning.
- At least 3 years of experience with Azure Data Factory, Azure Data Lake, Azure SQL DB, and Azure Synapse Analytics.
- Two or more years of experience with Azure ML, Python, and Scala is preferred.
- Two or more years of experience with Power BI and Azure Analysis Services is preferred.
- Experience gathering requirements and analyzing use cases with business stakeholders.
- Strong communication, collaboration, creative problem-solving, and software engineering skills.
- Bachelor’s degree in computer science or engineering, or equivalent practical experience, is preferred.
- Experience with Agile/Scrum and DevOps practices, CI/CD pipelines, and version control systems such as Git is preferred.
- Azure Data Engineer Certification or equivalent is a strong advantage.
Benefits
- Applicants may be required to appear onsite at a Wolters Kluwer office for part of the recruitment process.
- Candidates must participate in interviews without AI tools or external prompts; AI-generated responses or third-party support may result in disqualification.
Tech Stack
Categories
Data Engineering
About Wolters Kluwer
Wolters Kluwer builds subscription software, data, and workflow solutions for professionals in healthcare, tax and accounting, legal and regulatory, finance and compliance, and ESG. Its portfolio spans SaaS applications and expert content that support compliance, decision-making, and operational processes. Founded in 1836 and headquartered in Alphen aan den Rijn, the Netherlands, it is publicly traded on Euronext Amsterdam (WKL) and reported 2025 annual revenue of €6.1 billion.