Data Engineering Lead and Data Engineers

Alltech Consulting Services; Ottawa; On-site; CAD 85,000 - 120,000; Full time

Job summary

A leading consulting firm is seeking a Cloud Data Engineer to design and optimize data pipelines for enterprise-level systems. This role demands expertise in Python, Pyspark, SQL, and data warehousing as well as collaboration with business users, particularly in the investment banking domain. The selected candidate will focus on ensuring data integrity, performance optimization, and implementing best practices in data management, making it imperative to have a solid foundation in database fundamentals and experience with cloud data platforms.

Qualifications

• 5+ years experience with Python, SQL, and Databricks.
• Experience with ETL pipelines and data warehousing principles.
• Familiarity with cloud data architectures and database migration.

Responsibilities

• Build and optimize data pipelines for efficient data ingestion.
• Design and deploy Spark programs for data processing in Databricks.
• Implement data management best practices in a cloud environment.

Skills

Python

SQL

Databricks

Data Warehousing

Data Integration

ETL Pipelines

Cloud Data Architecture

Performance Tuning

Tools

Snowflake

Redshift

Big Query

Synapse

Job description

This position is for a Cloud Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems. The position calls for someone that is comfortable working with business users along with business analyst expertise in understanding Banking and Capital markets , especially in investment banking would be a big plus. Strong Database fundamentals is a must along with PySpark Coding expertise.

Major Responsibilities :

• Build and optimize data pipelines for efficient data ingestion, transformation and loading from various sources while ensuring data quality and integrity.
• Design, develop, and deploy Spark program in databricks environment to process and analyze large volumes of data.
• Experience of Delta Lake, DWH, Data Integration, Cloud, Design and Data Modelling.
• Proficient in developing programs in Python and SQL
• Experience with Data warehouse Dimensional data modeling.
• Working with event based / streaming technologies to ingest and process data.
• Working with structured, semi structured and unstructured data.
• Optimize Databricks jobs for performance and scalability to handle big data workloads.
• Monitor and troubleshoot Databricks jobs, identify and resolve issues or bottlenecks.
• Implement best practices for data management, security, and governance within the Databricks environment. Experience designing and developing Enterprise Data Warehouse solutions.
• Proficient writing SQL queries and programming including stored procedures and reverse engineering existing process.
• Perform code reviews to ensure fit to requirements, optimal execution patterns and adherence to established standards.

Skills :

• 5+ years Python coding experience.
• 5+ years – SQL Server based development of large datasets
• 5+ years with Experience with developing and deploying ETL pipelines using Databricks Pyspark.
• Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake.
• Experience in Data warehousing – OLTP, OLAP, Dimensions, Facts, and Data modeling.
• Previous experience leading an enterprise-wide Cloud Data Platform migration with strong architectural and design skills.
• Experience with Cloud based data architectures, messaging, and analytics.
• Strong experience in Code Optimizations and Performance tuning