About The Company Prudent Technologies and Consulting, Inc. is a leading technology solutions provider dedicated to delivering innovative and customized services to clients across various industries. With a strong focus on data-driven decision-making, we empower organizations to harness the power of their data to achieve strategic objectives.

Our team of experienced professionals combines technical expertise with industry insights to develop scalable, effective, and impactful solutions that drive growth and operational excellence. Committed to fostering a collaborative and inclusive work environment, Prudent Technologies and Consulting, Inc. prides itself on maintaining high standards of integrity, innovation, and customer satisfaction.

About The Role We are seeking a highly skilled Data Engineer to join our dynamic team at Prudent Technologies and Consulting, Inc. In this role, you will be responsible for designing, building, and maintaining robust data pipeline architectures that support our data analytics and business intelligence initiatives.

You will work closely with cross-functional teams including Data Science, Product, and Executive leadership to develop scalable data models, automate data processes, and create insightful dashboards and reports. The ideal candidate will have a strong background in data engineering technologies, cloud platforms, and data visualization tools, with a passion for transforming raw data into actionable insights that influence strategic decision-making.

Qualifications To be successful in this role, candidates should possess a bachelor's or master's degree in Computer Science, Information Technology, Data Science, or a related field. Candidates must have proven experience in data engineering, with proficiency in SQL and NoSQL databases, cloud platforms such as AWS and Azure, and big data technologies like Spark, Hadoop, and Snowflake. Strong programming skills in Python, Scala, or Java are essential.

Experience with data visualization tools such as PowerBI, Tableau, or Looker,



and familiarity with data analytics libraries in Python and R are highly desirable. Candidates should demonstrate excellent problem-solving skills, attention to detail, and the ability to work collaboratively in a fast-paced environment.

Responsibilities

- Define, Design, and Build an optimal data pipeline architecture to collect data from a variety of sources, cleanse, and organize data in SQL & NoSQL destinations (ELT & ETL Processes).
- Define and Build business use case-specific data models that can be consumed by Data Scientists and Data Analysts to conduct discovery and drive business insights and patterns.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
- Build and deploy analytical models and tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Define, Design, and Build Executive dashboards and reports catalogs to serve decision-making and insight generation needs.
- Provide inputs to help keep data separated and secure across data centers – on-prem and private and public cloud environments.




- Create data tools for analytics and data science team members that assist them in building and optimizing our product into an industry leader.
- Work with data and analytics experts to strive for greater functionality in our data systems.
- Implement scheduled data load processes and maintain and manage the data pipelines.
- Troubleshoot, investigate, and fix failed data pipelines and prepare root cause analyses (RCA).

Experience with a mix of the following Data Engineering Technologies

- Python, Spark, Snowflake, Databricks, Hadoop (CDH), Hive, Sqoop, Oozie
- SQL – Postgres, MySQL, MS SQL Server
- Azure – ADF, Synapse Analytics, SQL Server, ADLS G2
- AWS – Redshift, EMR cluster, S3

Experience with a mix of the following Data Analytics and Visualization toolsets

- SQL, PowerBI, Tableau, Looker, Python, R
- Python libraries — Pandas, Scikit-learn, Seaborn, Matplotlib, TensorFlow, Stat-Models, PySpark, Spark-SQL, R, SAS, Julia, SPSS
- Azure – Synapse Analytics, Azure ML Studio, Azure AutoML

Benefits Prudent Technologies and Consulting, Inc. offers a comprehensive benefits package designed to support the well-being and professional growth of our employees. Our offerings include competitive salary packages, health insurance plans, and retirement savings options. We promote work-life balance through flexible working hours and remote work opportunities. Employees also have access to ongoing training and development programs, industry certifications, and opportunities for career advancement. Additionally, we foster a collaborative and inclusive environment that encourages innovation, knowledge sharing, and continuous learning.

Equal Opportunity

Prudent Technologies and Consulting, Inc. is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace where all employees are valued and respected regardless of race, gender, age, religion, sexual orientation, disability, or any other characteristic protected by law. We believe that diverse perspectives and

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