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.

Haptiq

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