Principal Data Engineer (Azure)

Tiger Analytics, LLC; Toronto; Remote; CAD 80,000 - 130,000; Full time

Job summary

An established industry player is seeking a Principal Data Engineer to join their innovative team. In this role, you will leverage Azure and Databricks to build scalable data solutions that impact millions globally. You will design and implement data ingestion pipelines, harmonize structured and unstructured data, and collaborate with various teams to deliver cutting-edge analytics solutions. This position offers significant career development opportunities in a fast-paced environment where your contributions will be valued. If you're passionate about data engineering and eager to make a difference, this is the perfect opportunity for you.

Qualifications

• Hands-on experience with Azure, Databricks, and Data Modelling.
• Experience in implementing Data Lake and using big data technologies.

Responsibilities

• Design scalable data ingestion pipelines for batch and streaming datasets.
• Collaborate with teams to bring analytical solutions to life.

Skills

Azure Data Factory (ADF)

PySpark

Databricks

Azure SQL Database

SQL

Python

Scala

Java

Hadoop

Spark

Education

Bachelor's Degree in Computer Science or related field

Certifications in Data Engineering on Microsoft Azure (DP-203)

Databricks Certified Developer (DE)

Tools

Azure Synapse Analytics

Event Hub

Cosmos DB

Hadoop

Git

Jenkins

Azure DevOps

Job description

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.

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.

Responsibilities:

1. Design and build scalable & metadata-driven data ingestion pipelines (For Batch and Streaming Datasets)
2. Conceptualize and execute high-performance data processing for structured and unstructured data, and data harmonization
3. Schedule, orchestrate, and validate pipelines
4. Design exception handling and log monitoring for debugging
5. Ideate with your peers to make tech stack and tools-related decisions
6. 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?

1. Experience in implementing Data Lake with technologies like Azure Data Factory (ADF), PySpark, Databricks, ADLS, Azure SQL Database
2. A comprehensive foundation with working knowledge of Azure Synapse Analytics, Event Hub & Streaming Analytics, Cosmos DB, and Purview
3. A passion for writing high-quality code that is modular, scalable, and free of bugs (debugging skills in SQL, Python, or Scala/Java).
4. Enthusiasm to collaborate with various stakeholders across the organization and take complete ownership of deliverables.
5. Experience in using big data technologies like Hadoop, Spark, Airflow, NiFi, Kafka, Hive, Neo4J, Elastic Search
6. Adept understanding of different file formats like Delta Lake, Avro, Parquet, JSON, and CSV
7. Good knowledge of building and designing REST APIs with real-time experience working on Data Lake or Lakehouse projects.
8. Experience in supporting BI and Data Science teams in consuming the data in a secure and governed manner
9. 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 of using big data technologies like Hadoop, Spark, Airflow, NiFi, Kafka, Hive, Neo4J, Elastic Search.
• Good understanding of different file formats like Delta Lake, Avro, Parquet, JSON and CSV.
• Experience of working in Agile projects and following DevOps processes with technologies like Git, Jenkins & Azure DevOps.
• Good to have:
• Experience of working on Data Lake & Lakehouse projects
• Experience of building REST services and implementing service-oriented architectures.
• Experience of 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)

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.