DATA SCIENTIST LEAD L1
Offre en anglaisJob Description Job Description Data Modelling & Architecture Strong understanding of semantic models used in enterprise reporting and analytics. Expertise in dimensional modelling, including star and snowflake schema design. Practical experience implementing Slowly Changing Dimensions (SCD) Type 1 and Type 2. Ability to translate business requirements into scalable data models. Advanced Spark SQL Proficiency in Spark SQL, including complex joins, aggregations, and transformations. Strong command over window functions, ranking functions, and analytical queries. Ability to troubleshoot perfo…
- Sur place
- ONTARIO
- Publié 14 juill. 2026
- Postuler avant le 13 août 2026
- 1 poste
Résumé du poste
Job Description Job Description Data Modelling & Architecture Strong understanding of semantic models used in enterprise reporting and analytics. Expertise in dimensional modelling, including star and snowflake schema design. Practical experience implementing Slowly Changing Dimensions (SCD) Type 1 and Type 2. Ability to translate business requirements into scalable data models. Advanced Spark SQL Proficiency in Spark SQL, including complex joins, aggregations, and transformations. Strong command over window functions, ranking functions, and analytical queries. Ability to troubleshoot performance issues and optimize Spark SQL queries. PySpark Development Working knowledge of PySpark for data ingestion, transformation, and workflow orchestration. Ability to write and understand basic pyspark functions Basic understanding of Spark architecture, including executors, partitions, and caching. Data Engineering Skills Experience building ETL/ELT pipelines using Azure Databricks and load to Synapse. Familiarity with Delta Lake, data versioning, and ACID transactions. Independence & Collaboration Ability to work independently with minimal oversight. Strong communication skills to collaborate with cross-functional teams and business stakeholders. Proactive in identifying issues and proposing data-driven solutions. ͏ ͏ Mandatory Skills: Data Science . Experience: 5-8 Years The expected compensation for this role ranges from CAD 77000 to CAD 120000 . Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Wipro is committed to creating an accessible, supportive, and inclusive workplace. Reasonable accommodation will be provided to all applicants including persons with disabilities, throughout the recruitment and selection process. Accommodations must be communicated in advance of the application, where possible, and will be reviewed on an individual basis. Wipro provides equal opportunities to all and values diversity.
Ce que vous ferez
The role involves designing and implementing data models for enterprise reporting and analytics, as well as optimizing Spark SQL queries. The candidate will also be responsible for building ETL/ELT pipelines and collaborating with cross-functional teams.
Exigences
Candidates should have 5-8 years of experience in data science and a strong understanding of data modeling and architecture. Proficiency in Spark SQL and PySpark, along with experience in data engineering, is essential.
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- Data Modelling
- Dimensional Modelling
- Spark SQL
- PySpark
- ETL
- ELT
- Azure Databricks
- Delta Lake
- Data Engineering
- Communication Skills
- Problem Solving
- Workflow Orchestration
- Data Versioning
- ACID Transactions
- Performance Optimization
- Analytical Queries
Renseignements supplémentaires
- Expérience minimale
- 5+ ans
- Postuler avant le
- 13 août 2026