Data Engineer

Overview

Haptiq Technology and Solutions, a leader in uniting companies and their investors through innovative technology, is looking for a Principal Fullstack Engineer to join our dynamic team in Canada. Haptiq excels in transforming potential into tangible performance, offering a suite of meticulously designed software solutions that cater to a wide range of business needs. With a global footprint and a team of over 200 skilled professionals, we stand as a strategic partner for businesses navigating the complexities of the digital landscape.

The Opportunity

We are seeking a highly motivated and self driven data engineer for our growing data team -who  is able to 

work and deliver independently and as a team.In this role, you will play a crucial part in designing , building and maintaining 

our ETL infrastructure and data pipelines.

Key Responsibilities

• This position is for a Cloud Data engineer with a background in Python, DBT, SQL and data warehousing for enterprise level systems. 
• Adhere to standard coding principles and standards.
• 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 python scripts and ETL processes in ADF environment to process and analyze varying volumes of data.
• Experience of  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 ETL jobs for performance and scalability to handle big data workloads. 
• Monitor and troubleshoot ADF 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.
• Checking in, checkout and peer review and merging PRs into git Repo.
• Knowledge of deployment of packages and code migrations to stage and prod environments via CI/CD pipelines.

Skills

• 3+ 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, ADF, 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).
• Add ons: Any experience with Airflow , AWS lambda, AWS glue and Step functions is a Plus.