Data Engineering Lead and Data Engineers

ALLTECH CONSULTING SVC INC; Ottawa; On-site; CAD 90,000 - 130,000; Full time

Job summary

A leading company seeks a Cloud Data Engineer with expertise in Python, PySpark, and SQL to optimize data pipelines and ensure data quality for enterprise-level systems. Ideal candidates will have experience with Databricks and a background in banking and capital markets is a plus. The role involves designing and deploying data solutions and requires strong database fundamentals.

Qualifications

• 5+ years Python coding experience.
• 5+ years SQL Server based development.
• 5+ years ETL pipeline development using Databricks and PySpark.

Responsibilities

• Build and optimize data pipelines for efficient data ingestion, transformation, and loading.
• Design, develop, and deploy Spark programs in Databricks to process large volumes of data.
• Implement best practices for data management, security, and governance.

Skills

Python

SQL

Databricks

PySpark

Data Warehouse Concepts

Education

Cloud certification(s)

Job description

Must Have:

• Snowflake
• Databricks
• SQL
• Python
• ADF
• PySpark
• Data Warehouse Concepts

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.
• Cloud certification(s).
• Strong experience in Code Optimizations and Performance tuning