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Strong employer brand, popular mid-level Data Engineer title, 2-5 years, Bangalore location, and broad skill requirements.
Core data engineering skills are broadly transferable across industries despite JLL's real-estate domain.
Explicit 2-5 years plus mandatory Python, ETL, Spark, Airflow and cloud skills increases filter strictness.
Design and implement advanced ETL/ELT data pipelines and CI/CD workflows in production environments.
Integrate AI and automation techniques to enhance data engineering solutions and improve scalability.
Collaborate with cross-functional teams to translate business needs into technical requirements and support strategic decision-making.
Bachelor’s degree in Computer Science, Information Systems, Mathematics, Statistics, or related quantitative discipline.
2-5 years of experience in data engineering, data development, or related technical field.
Intermediate Python skills with knowledge of decorators, generators, and object-oriented programming.
On-site work required in Bengaluru, KA.
Experienced in building and optimizing production data pipelines and working with cloud data services (Azure, AWS, or GCP).
Familiar with data orchestration tools (e.g., Airflow, Azure Data Factory) and big data frameworks like Apache Spark or PySpark.
Comfortable working in agile/scrum teams and collaborating with diverse stakeholders to align data solutions with business goals.