Senior Data Engineer

🔥 13 hours ago

🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Bits In Glass

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2002

💼 Consulting

📦 Logistics

🏭 Manufacturing

💰 Private equity on 2024-03

Consulting • Logistics • Manufacturing

Bits In Glass is a global boutique consulting firm that designs, builds, and manages intelligent automation and integration solutions for enterprise clients. The company specializes in enterprise AI and data engineering, low-code/no-code development, process automation (including RPA and BPA), enterprise application integration, CRM implementations, and application management services, working with partners like Appian, AWS, UiPath, MuleSoft, Snowflake, and Creatio. Bits In Glass serves industries such as banking and financial services, insurance, transportation and logistics, manufacturing and distribution, real estate, healthcare, and the public sector, helping organizations scale automation, improve efficiency, and turn data into actionable insights.

📋 Description

• Design and implement end-to-end data architectures, including data lakes, data warehouses, and analytics platforms • Define data integration and transformation strategies for scalability, security, and performance • Translate business requirements into technical solutions supporting analytics, reporting, and AI initiatives • Develop data models, ETL/ELT pipelines, and frameworks for structured and unstructured data • Provide technical leadership and mentorship to data engineers and developers • Promote best practices in data management and governance • Ensure compliance with data governance, security, and privacy standards across platforms • Optimize existing data architectures and processes for performance and reliability • Stay current with cloud data services and emerging technologies • Act as a trusted advisor to clients on architecture decisions and data modernization best practices • Collaborate with business stakeholders, data engineers, and analytics teams to align solutions with client goals

🎯 Requirements

• 5+ years of experience in data architecture, data engineering, or analytics solution design • Hands-on experience with data lake and warehouse technologies, such as Databricks, Snowflake, Redshift, and Synapse • Deep understanding of data modeling, data integration, and ETL/ELT design • Proficiency in SQL and one or more programming languages, including PySpark/Python or Scala • Experience with complex data transformations and optimization within Spark • Understanding of data governance, security, and privacy best practices • Experience designing, implementing, and optimizing large-scale ingestion pipelines using Databricks Autoloader • Practical knowledge of building and managing reliable, self-managing ETL/ELT pipelines using Delta Live Tables • Experience building high-throughput, low-latency streaming data ingestion solutions using Apache Kafka, Spark Structured Streaming, and Databricks Streaming • Extensive experience applying and enforcing Medallion architecture within a Databricks environment • Experience designing and implementing CI/CD pipelines using tools such as Azure DevOps, GitHub Actions, or GitLab CI for Databricks workflows, notebooks, and cluster configurations • Experience planning and executing data migration projects from traditional data warehouses into the Databricks Lakehouse • Strong working knowledge of at least one major cloud provider, AWS or Azure, including data storage, networking, and security concepts relevant to Databricks deployment • Ability to engage with clients, present technical solutions, and communicate complex ideas clearly • Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field • Excellent problem-solving, communication, and collaboration skills • Nice to have: AI/ML integration and data science workflows • Nice to have: data cataloging and metadata management tools • Nice to have: prior consulting or client-facing experience in a technology services firm

🏖️ Benefits

• Supportive, collaborative team environment • Great Place to Work recognition • Opportunities to deepen expertise and grow skills • Meaningful work solving real-world business challenges • Professional development through exposure to modern platforms, cloud services, AI, and automation consulting • Full-time employment