At a Glance
- Tasks: Build and optimize data pipelines using Python, SQL, and Databricks for enterprise systems.
- Company: Join a leading tech company focused on cloud data solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Great chance to lead cloud data platform migrations and enhance your skills.
- Why this job: Make an impact by working with cutting-edge data technologies in a dynamic environment.
- Qualifications: 5+ years of experience in Python, SQL, and data warehousing.
The predicted salary is between 108000 - 132000 $ per year.
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.
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).
- Any experience with Airflow is a Plus.
Must Have
- Snowflake
- SQL
- Python
- ADF
- Py Spark
- Data Warehouse Concepts
- #J-18808-Ljbffr
Data Engineer in Mississauga employer: ALLTECH CONSULTING SVC INC
Join our dynamic team as a Solution Architect, where you'll thrive in a collaborative and innovative work culture that values your expertise in data-intensive application development. Located in a vibrant tech hub, we offer competitive benefits, continuous learning opportunities, and the chance to lead impactful projects that shape the future of our vulnerability management platforms. Here, your contributions are recognized, and you will have the support to grow both personally and professionally in a fast-paced environment.
Contact Details:
ALLTECH CONSULTING SVC INC Recruitment Team
