Junior Data Engineer

Mod Op•Cleveland, OH

20d•Hybrid

About The Position

As a Data Engineer with (1-2) years of experience, you will be responsible for designing and implementing robust data pipelines, optimizing data workflows, and supporting analytics initiatives. You will work with AWS and GCP cloud services, integrate with CRM and marketing platforms, and enable data-driven decision-making through visualization tools like Google Looker and Tableau.

Requirements

Cloud Expertise: GCP or AWS (Data Engineering or ML focus) experience.
Programming Skills: Strong proficiency in Python and experience with its data science libraries.
Database Management: Experience with SQL (Teradata, BigQuery, etc.) and NoSQL databases.
Data Visualization: Hands-on experience with Google Looker and Tableau for reporting and dashboards.
CRM & Marketing Data: Experience working with CRM, marketing platforms, and analytics tools.
Machine Learning Knowledge: working GCP/Azure/AWS Services with ML workflows, model training, AI Models and deployment.
Data Automation & Transformation: Knowledge with Alteryx for workflow automation and data preparation.

Nice To Haves

Experience with data warehousing solutions (Snowflake, Redshift, etc.).
GCP Certified focused on Data Engineering.
Exposure to Apache Spark, Airflow, or other data orchestration tools.
Strong understanding of data governance, security, and compliance.

Responsibilities

Data Pipeline Development: Design, develop, and maintain scalable ETL/ELT pipelines in GCP, Azure & AWS using various services including Data Flow, Composer, Azure Synapse, AWS Data Pipelines and etc
Data Integration: Work with structured and unstructured data sources, including CRM and marketing data platforms.
Database Management: Develop and optimize queries for SQL & NoSQL databases (Teradata, BigQuery, Cassandra, etc.).
Data Science & ML: Implementing Models using GCP Vertex ai and utilizing Python and its data science libraries (Pandas, NumPy, Scikit-learn, etc.) for data analysis and ML model deployment.
Data Visualization: Build and manage dashboards using Google Looker and Tableau to provide business insights.
Collaboration: Work closely with data analysts, marketing teams, and other stakeholders to understand business needs and implement effective data solutions.

Benefits

Health and Life Insurance for employees and family, access to Vision benefits, Telemedicine services, Psychology support and others.
On the job training and career growth opportunities.
Access to LinkedIn courses.
Hybrid in-office schedule.
Talented team environment, collaborative offices, fun company culture with a great balance of work and play.
Vacations are granted by day or weeks according to employee approved request.
Salary with yearly review and competitive benefits.
Competitive compensation based on experience and skill set.

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