Ycotek

3 jobs near Columbus, OH

We are looking for a self-driven, motivated, and results-oriented professional to join our dynamic team as a Sr. Data & Analytics Engineer. Please find the role details below; Key Responsibilities

New

$90 - $140/hr

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

New

Data Engineer

Minneapolis, MN · On-site

$90 - $140/hr

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

New

Senior Data & Analytics Engineer

Ycotek

Minneapolis, MN • On-site

$120 - $180/hr

Other

Posted 3 days ago

New


Job description

We are looking for a self-driven, motivated, and results-oriented professional to join our dynamic team as a Sr. Data & Analytics Engineer. Please find the role details below;

Key Responsibilities
  • Design, develop, andoptimizedata pipelines and ETL processes for efficient data ingestion, transformation, and integration from multiple sources.
  • Manage andmaintaindata 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,monitoringsystems, and performance tuning.
  • Contribute to data modeling, architecture, and governance best practices.
  • Support the development of dashboards, reports, and analytical models toprovideactionable insights.
  • Mentor junior engineers and foster a culture of collaboration and technical excellence within the data team.
Key Specifications
  • 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 andidentifytrends, correlations, and insights.
  • Excellent verbal and written communication skills, with the ability to explain complex data concepts to non-technical stakeholders.
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (Master’spreferred).
  • 4+ 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.
  • Previousexperience in a similar industry or field is a plus.
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