As a Data Engineer, you will work closely with a multidisciplinary Agile team to build high quality data pipelines driving analytic solutions. These solutions will generate insights from our connected data, enabling to advance the data-driven decision-making capabilities of our enterprise. This role requires deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows. The ideal candidate is a skilled data / software engineer with experience creating data products supporting analytic solutions. The ideal candidate is a skilled data / software engineer with experience creating data products supporting analytic solutions. They are an Agile learner, possess strong problem-solving skills, work as part of a technical, cross functional analytics team, and want to Solve complex data problems and deliver the insights to enable analytics strategy.
Skills
- Bachelor’s degree required; Computer Science, MIS, or Engineering preferred
- 5 years of experience working in data engineering or architecture role, 7+ preferred
- Expertise in SQL and data analysis and experience with at least one programming language (Python/PySpark or Scala preferred)
- Experience developing and maintaining data warehouses in big data solutions
- Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space (preferred)
- Database development experience using Hadoop or BigQuery and experience with a variety of relational, NoSQL, and cloud data lake technologies
- Worked with BI tools such as Tableau, Power BI, Looker, Shiny
- Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.
- Big Data Development experience using Hive, Impala, Spark and familiarity with Kafka (Preferred)
- Familiarity with the Linux operating system (Preferred)
- Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
- Passionate about Agile software processes, data-driven development, reliability, and experimentation
- Experience working on a collaborative Agile product team
- Self-motivated with strong problem-solving and learning skills
- Flexibility to changes in work direction as the project develops
- Excellent communication, listening, and influencing skills
- Demonstrated strong number sense, intellectually curious and willing to adjust position based on additional information
- Strong work ethic; ability to work at an abstract level and gain consensus
Responsibilities
- Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals
- Solve complex data problems to deliver insights that helps our business to achieve their goals
- Create data products for analytics and data scientist team members to improve their productivity
- Advise, consult, mentor and coach other data and analytic professionals on data standards and practices
- Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions
- Lead the evaluation, implementation and deployment of emerging tools and process for analytic data engineering in order to improve our productivity as a team
- Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes
- Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
- Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
Regards,
Kailash Negi | Lead Technical Recruiter | KPG99,INC | MBE Certified Firm
Direct: 609-681-2603 | kn@kpgtech.com | www.kpgtech.com