
Lead Data Science Engineer
Minor Hotels Europe and Americas
full-time
Posted on:
Location Type: Office
Location: Pune • India
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Job Level
Tech Stack
About the role
- SQL: Advanced (window functions, CTEs, query optimization, partitioning, indexing)
- Python: Strong (pandas, PySpark, packaging, testing, logging)
- PySpark/Spark: Distributed data processing, performance tuning, job optimization
- ETL/ELT: Design and build pipelines; experience with tools like ADF, Databricks, Airflow, Glue, Dataflow/Composer, or similar
- Azure: ADF/Synapse/Databricks, Azure Data Lake Storage, Azure Functions, Key Vault, Event Hub, Azure ML
- AWS: S3, Glue, EMR, Lambda, Kinesis, Redshift, SageMaker
- GCP: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, Vertex AI
- Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions or applications
- Applies scientific methods to analyse and solve software engineering problems
- He or she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance
- His or her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers
- The software engineer builds skills and expertise of his or her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities
- The software engineer collaborates and acts as team player with other software engineers and stakeholders
Requirements
- SQL: Advanced (window functions, CTEs, query optimization, partitioning, indexing)
- Python: Strong (pandas, PySpark, packaging, testing, logging)
- PySpark/Spark: Distributed data processing, performance tuning, job optimization
- ETL/ELT: Design and build pipelines; experience with tools like ADF, Databricks, Airflow, Glue, Dataflow/Composer, or similar
- Azure: ADF/Synapse/Databricks, Azure Data Lake Storage, Azure Functions, Key Vault, Event Hub, Azure ML
- AWS: S3, Glue, EMR, Lambda, Kinesis, Redshift, SageMaker
- GCP: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, Vertex AI
- CI/CD: GitHub Actions/Azure DevOps/Jenkins/GitLab CI; artifact management; environment promotion
- IaC: Terraform/Bicep/CloudFormation (at least one)
- Containers/Orchestration: Docker, Kubernetes, or serverless patterns
- Security & Governance: IAM/RBAC, secrets management, encryption, compliance awareness
Benefits
- comprehensive wellness benefits including health checks
- telemedicine
- insurance with top-ups
- elder care
- partner coverage
- new parent support via flexible work
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythonPySparkETLELTAzureAWSGCPCI/CDIaC
Soft Skills
collaborationteam playeroriginal thoughtjudgementsupervision