Data Engineer

Ycotek; Minneapolis, Northern (MN, KY); Hybrid; USD 90,000 - 140,000; Full time

Job summary

Ycotek is seeking a Data Engineer to design, build, and optimize data pipelines and data lakes. You will collaborate with analysts and data scientists to translate business needs into scalable technical solutions and ensure data quality and governance.

The role involves working with SQL, Python, data warehousing technologies, and ETL tools, with opportunities to mentor junior engineers and contribute to a high-performing data team.

Qualifications

• Proficient in SQL and Python for data engineering tasks.
• Experience with data warehousing technologies and ETL tools.
• Strong relational data modeling and architecture knowledge.
• Excellent communication to translate business needs for technical solutions.

Responsibilities

• Design, develop, and optimize data pipelines and ETL processes for ingestion, transformation, and integration from multiple sources.
• Manage data warehouses and data lakes with a focus on accuracy, availability, and security.
• Collaborate with stakeholders, analysts, and data scientists to translate requirements into solutions.
• Implement data quality frameworks, monitoring, and performance tuning.
• Contribute to data modeling, architecture, and governance best practices.
• Support dashboards, reports, and analytical models to provide insights.
• Mentor junior engineers and foster collaboration and technical excellence.

Skills

SQL

Python

Data warehousing

ETL tools

Data modeling

Communication

Education

Bachelor’s in CS/Engineering/Data Science

Master’s preferred

Tools

Snowflake

Redshift

BigQuery

Airflow

Talend

Fivetran

Tableau

Power BI

Looker

AWS

GCP

Azure

Hadoop

Spark

Kafka

Job description

We are looking for a self-driven, motivated, and results-oriented professional to join our dynamic team as a Data Engineer. Details of the same have been highlighted below:

Roles and responsibilities

• Design, develop, and optimize data pipelines and ETL processes for efficient data ingestion, transformation, and integration from multiple sources.
• Manage and maintain data warehouses and data lakes, ensuring accuracy, availability, and security.
• Work closely with business stakeholders, data analysts, and data scientists to translate business needs into technical solutions.
• Implement data quality frameworks, monitoring systems, and performance tuning.
• Contribute to data modeling, architecture, and governance best practices.
• Support the development of dashboards, reports, and analytical models to provide actionable insights.
• Mentor junior engineers and foster a culture of collaboration and technical excellence within the data team.

Skills and Qualifications

• Strong experience in SQL, Python. Familiarity with data warehousing technologies (e.g., Snowflake, Redshift, BigQuery) and ETL tools (e.g., Apache Airflow, Talend, Fivetran).
• Experience with data visualization tools such as Tableau, Power BI, or Looker.
• Knowledge of cloud-based platforms (AWS, Google Cloud, Azure) and associated data services.
• Experience with Hadoop, Spark, Kafka, or other big data technologies is a plus.
• Strong understanding of relational databases, data modeling concepts, and designing data architectures.
• Ability to analyze complex data sets and identify trends, correlations, and insights.
• Excellent verbal and written communication skills, with the ability to explain complex data concepts to non-technical stakeholders.

Experiences

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (Master’s preferred).
• 2+ years of experience in data engineering or a related field, preferably in analytics or business intelligence.
• Strong experience working with large datasets and complex data pipelines.
• Previous experience in a similar industry or field is a plus.

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