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Junior Data Engineer
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À propos
We are looking for a motivated Junior Data Engineer to join our data team. The ideal candidate will help build and maintain data pipelines and support our modern data platform built on the Azure Databricks Lakehouse architecture.
This role will work closely with data engineers, analysts, and business stakeholders to ingest, transform, and prepare data for analytics and reporting. The Junior Data Engineer will support the development of scalable ETL/ELT pipelines, maintain data quality, and help deliver reliable datasets for downstream tools such as Power BI. This position reports to the Senior Data Engineer and provides an excellent opportunity to develop technical skills in modern cloud data engineering.
Responsibilities
Assist in developing and maintaining data pipelines in Azure Databricks using SQL and PySpark. Support ingestion of data from various systems (e.g., SaaS applications, databases, reports) into the Data Lakehouse. Build and maintain transformation logic to move data through Medallion Architecture layers. Implement basic data validation and data quality checks to ensure reliable datasets. Support orchestration and scheduling of pipelines using Azure Data Factory and Databricks Jobs. Optimize queries and data models for performance in Databricks and downstream reporting tools. Collaborate with analytics teams to prepare datasets used in Power BI dashboards and reporting. Assist with documenting pipelines, data flows, and technical processes. Monitor pipeline execution and troubleshoot data issues when they occur. Requirements
Bachelor's or Master's degree in computer science, Information Systems, Data Engineering, or a related field. 1+ year of experience working with data pipelines, analytics platforms, or data engineering tools (internships or academic projects acceptable). Strong knowledge of SQL and experience querying large datasets. Familiarity with Apache Spark or Databricks. Basic experience with Python or PySpark for data transformation. Understanding data warehousing and Lakehouse concepts (Medallion Architecture). Experience or exposure to Azure Data Factory or similar orchestration tools. Knowledge of Fivetran is a plus. Familiarity with Azure cloud services is a plus. Exposure to Power BI or other BI tools is beneficial. Strong analytical thinking and problem-solving skills. Ability to work collaboratively in a team environment and communicate effectively. Cumming Group is committed to providing Equal Employment Opportunity in its personnel policies and practices. It is Cumming Group's policy to recruit, hire, train and promote Team Members and applicants for employment without regard to race, color, creed, religion, age, sex, marital status, registered domestic partner status, genetic information, sexual preference, sexual orientation, gender (including gender expression and gender identity), pregnancy (including childbirth or related medical conditions, including breastfeeding), military service, national origin, ancestry, citizenship, physical disability, mental disability, veteran status or any other protected classification under federal, state, or local law. All such decisions are based on (1) individual merit, qualifications, and competence as they relate to the particular position, and (2) promotion of the principle of equal employment opportunity.
All other terms and conditions of employment, such as compensation, benefits, transfers, layoff, return from layoff, training, education, and social and recreational programs, are administered without regard to the characteristics described above. To this end, Cumming Group complies with all provisions of Title VII of the Civil Rights Act of 1964 as amended, all of the rules, regulations and relevant orders of the Secretary of Labor, and all similar state and local laws.
The salary range for this full-time role is $91,000.00-$121,333.35 per year. Ranges are determined based on the position, geography, client and industry experience and level, and represent a good faith effort to provide a fair and equitable salary. This range reflects base salary only, and not the total compensation package. Cumming Group reserves the right to pay more or less than the posted range, depending on a candidate's experience, skills, and qualifications, including client requirements.
In addition to base salary, Cumming Group offers a comprehensive benefits package including:
Medical Dental Insurance Vision Insurance 401(k) 401(k) Matching Paid Time Off Paid Holidays Short and long-term disability Employee Assistance Program
Compétences linguistiques
- English
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