About the role
Lead Data Engineer / Data Platform Lead
121 Bloor st E, Toronto, Canada (onsite 5days)
Role 2 is a more senior and strategic Lead Data Engineer / Data Platform Lead role. In addition to hands-on engineering, it emphasizes technical leadership, enterprise architecture, analytics enablement, stakeholder management, innovation, and long-term platform strategy. It also introduces preferred experience in GenAI/LLM-enabled data platforms, making it broader in scope than the first role.
All About You
Technical Skills & Experience
- Strong proficiency in Python, including Pandas, NumPy, PySpark, with hands on experience using Impala.
- Proven experience working on Hadoop based platforms, performing large scale data extraction, transformation, and processing.
- Strong SQL skills and experience working with both relational and distributed data stores.
- Experience with enterprise data platforms and business intelligence ecosystems.
- Hands on experience with ETL / ELT and data integration tools, such as Apache Airflow, Apache NiFi, Azure Data Factory.
- Experience in data modelling, querying, data mining, and reporting over large volumes of granular data.
- Exposure to machine learning concepts and analytical techniques used in advanced data solutions and Feature calculations and Model serving is a big plus.
- 8+ years of experience in data engineering, big data analytics, or enterprise data platforms, including 2+ years in a lead or technical leadership role.
- Experience working with cloud based data platforms (Azure/AWS, Databricks/Snowflake), including data lakes, distributed compute, and storage services.
- Experience implementing CI/CD pipelines and DevOps practices for data engineering workflows.
GenAI / LLM Skills (Preferred)
- Experience enabling GenAI/AI products through scalable, reliable data ingestion and transformation pipelines (batch and streaming).
- Exposure to unstructured and semi-structured data processing (documents/logs/text) and building curated datasets for downstream consumption.
- Strong understanding of data governance, privacy, and security requirements when using enterprise data with AI (PII handling, access control, auditability).
- Familiarity with operationalizing AI data workflows (monitoring, data quality checks, reproducibility, and cost-aware scaling in cloud environments).
About Apexon
Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. For over 27 years, Apexon has been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving our clients’ toughest technology problems, and a commitment to continuous improvement. We focus on three broad areas of digital services: User Experience (UI/UX, Commerce); Engineering (QE/Automation, Cloud, Product/Platform); and Data (Foundation, Analytics, and AI/ML), and have deep expertise in BFSI, healthcare, and life sciences. Apexon is backed by Goldman Sachs Asset Management and Everstone Capital.
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About the role
Lead Data Engineer / Data Platform Lead
121 Bloor st E, Toronto, Canada (onsite 5days)
Role 2 is a more senior and strategic Lead Data Engineer / Data Platform Lead role. In addition to hands-on engineering, it emphasizes technical leadership, enterprise architecture, analytics enablement, stakeholder management, innovation, and long-term platform strategy. It also introduces preferred experience in GenAI/LLM-enabled data platforms, making it broader in scope than the first role.
All About You
Technical Skills & Experience
- Strong proficiency in Python, including Pandas, NumPy, PySpark, with hands on experience using Impala.
- Proven experience working on Hadoop based platforms, performing large scale data extraction, transformation, and processing.
- Strong SQL skills and experience working with both relational and distributed data stores.
- Experience with enterprise data platforms and business intelligence ecosystems.
- Hands on experience with ETL / ELT and data integration tools, such as Apache Airflow, Apache NiFi, Azure Data Factory.
- Experience in data modelling, querying, data mining, and reporting over large volumes of granular data.
- Exposure to machine learning concepts and analytical techniques used in advanced data solutions and Feature calculations and Model serving is a big plus.
- 8+ years of experience in data engineering, big data analytics, or enterprise data platforms, including 2+ years in a lead or technical leadership role.
- Experience working with cloud based data platforms (Azure/AWS, Databricks/Snowflake), including data lakes, distributed compute, and storage services.
- Experience implementing CI/CD pipelines and DevOps practices for data engineering workflows.
GenAI / LLM Skills (Preferred)
- Experience enabling GenAI/AI products through scalable, reliable data ingestion and transformation pipelines (batch and streaming).
- Exposure to unstructured and semi-structured data processing (documents/logs/text) and building curated datasets for downstream consumption.
- Strong understanding of data governance, privacy, and security requirements when using enterprise data with AI (PII handling, access control, auditability).
- Familiarity with operationalizing AI data workflows (monitoring, data quality checks, reproducibility, and cost-aware scaling in cloud environments).
About Apexon
Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. For over 27 years, Apexon has been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving our clients’ toughest technology problems, and a commitment to continuous improvement. We focus on three broad areas of digital services: User Experience (UI/UX, Commerce); Engineering (QE/Automation, Cloud, Product/Platform); and Data (Foundation, Analytics, and AI/ML), and have deep expertise in BFSI, healthcare, and life sciences. Apexon is backed by Goldman Sachs Asset Management and Everstone Capital.