Principal Data Engineer (Azure)

Tiger Analytics; Toronto; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading analytics consulting firm is seeking a Principal Data Engineer with expertise in Azure and big data technologies. You will design scalable data pipelines and collaborate with various teams to deliver innovative solutions. The role offers significant career development opportunities in a dynamic environment.

Benefits

Career development opportunities

Qualifications

• Experience in implementing Data Lake with Azure Data Factory and Databricks.
• Strong programming skills in SQL, Python, or Scala/Java.
• Experience with big data technologies like Hadoop and Spark.

Responsibilities

• Design and build scalable data ingestion pipelines.
• Collaborate with teams to meet deadlines and deliver analytical solutions.
• Conceptualize high-performance data processing for structured and unstructured data.

Skills

Data Modeling

Collaboration

Debugging

High-Quality Code

Education

Certifications like DP-203 or DE

Tools

Azure Data Factory

PySpark

Databricks

ADLS

Azure SQL Database

Hadoop

Spark

Airflow

Kafka

Git

Job description

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Tiger Analytics is a global AI and analytics consulting firm. With data and technology at the core of our solutions, we are solving problems that eventually impact the lives of millions globally. Our culture is modeled around expertise and respect with a team-first mindset. Headquartered in Silicon Valley, you'll find our delivery centers across the globe and offices in multiple cities across India, the US, UK, Canada, and Singapore, including a substantial remote global workforce.

We're Great Place to Work-Certified. Working at Tiger Analytics, you'll be at the heart of an AI revolution. You'll work with teams that push the boundaries of what is possible and build solutions that energize and inspire.

Requirements

Curious about the role? What your typical day would look like?

As a Principal Data Engineer (Azure), you would have hands-on experience working on Azure as cloud, Databricks, and some exposure/experience on Data Modelling. You will build and learn about a variety of analytics solutions & platforms, data lakes, modern data platforms, data fabric solutions, etc., using different Open Source, Big Data, and Cloud technologies on Microsoft Azure.

• Design and build scalable & metadata-driven data ingestion pipelines (For Batch and Streaming Datasets)
• Conceptualize and execute high-performance data processing for structured and unstructured data, and data harmonization
• Schedule, orchestrate, and validate pipelines
• Design exception handling and log monitoring for debugging
• Ideate with your peers to make tech stack and tools-related decisions
• Interact and collaborate with multiple teams (Consulting/Data Science & App Dev) and various stakeholders to meet deadlines, to bring Analytical Solutions to life

What do we expect?

• Experience in implementing Data Lake with technologies like Azure Data Factory (ADF), PySpark, Databricks, ADLS, Azure SQL Database
• A comprehensive foundation with working knowledge of Azure Synapse Analytics, Event Hub & Streaming Analytics, Cosmos DB, and Purview
• A passion for writing high-quality code and the code should be modular, scalable, and free of bugs (debugging skills in SQL, Python, or Scala/Java)
• Enthusiastic to collaborate with various stakeholders across the organization and take complete ownership of deliverables
• Experience in using big data technologies like Hadoop, Spark, Airflow, NiFi, Kafka, Hive, Neo4J, Elastic Search
• Adept understanding of different file formats like Delta Lake, Avro, Parquet, JSON, and CSV
• Good knowledge of building and designing REST APIs with real-time experience working on Data Lake or Lakehouse projects
• Experience in supporting BI and Data Science teams in consuming the data in a secure and governed manner
• Certifications like Data Engineering on Microsoft Azure (DP-203) or Databricks Certified Developer (DE) are valuable additions

Note:

The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.

Job Requirements

• Mandatory: Azure Data Factory (ADF), PySpark, Databricks, ADLS, Azure SQL Database
• Optional: Azure Synapse Analytics, Event Hub & Streaming Analytics, Cosmos DB, and Purview
• Strong programming, unit testing & debugging skills in SQL, Python or Scala/Java
• Some experience with big data technologies like Hadoop, Spark, Airflow, NiFi, Kafka, Hive, Neo4J, Elastic Search
• Good understanding of file formats like Delta Lake, Avro, Parquet, JSON, and CSV
• Experience working in Agile projects and following DevOps processes with technologies like Git, Jenkins & Azure DevOps
• Good to have: experience on Data Lake & Lakehouse projects, building REST services, supporting BI and Data Science teams securely, certifications like DP-203 or DE

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Seniority level

• Associate

Employment type

• Full-time

Job function

• Information Technology

Industries

• IT Services and IT Consulting