Senior Data Engineer

• You will work closely with stakeholders to translate data requirements into practical and scalable technical solutions.

• You will develop, maintain, and optimize data models, queries, and reporting frameworks.

• You will support both batch and near real-time data processing use cases to ensure timely data availability.

• You will implement robust data quality checks, monitoring systems, and documentation to maintain reliable datasets.

• You will create insightful reports connecting product and bookings data while recommending strategic initiatives.

• You will collaborate with data scientists to enable advanced analytics and machine learning capabilities.

• You will ensure secure data handling, follow SDLC best practices, and continuously adopt new tools and techniques in data engineering.

About You:

• You should have 10–15 years of experience in data engineering or a related field.

• You should have strong programming skills in Python (preferred) or Scala/Java.

• You should have hands-on experience with modern data tools such as Databricks, Spark, or similar technologies.

• You should have experience working with cloud platforms like AWS, Azure, or GCP data services.

• You should have solid SQL expertise along with a strong understanding of data modeling and data warehousing concepts.

• You should have familiarity with data quality, monitoring, reliability practices, and experience collaborating with analysts, data scientists, or product teams.

  • You should have strong problem-solving skills, a collaborative mindset, and ideally exposure to Docker, streaming data, ML pipelines, GenAI/LLM, and DataOps practices.