Data Integrations Engineer

Data Integration Engineer will be responsible for utilizing advanced analytics to extract valuable insights from complex datasets. They will play a pivotal role in developing innovative solutions, optimizing business operations, and driving data-driven decision-making processes. They will possess a strong background in data analysis, and exceptional problem-solving and communication skills.

Job Responsibilities
 Design and implement data integration solutions to enable seamless flow of data between

various systems, databases, and applications.
 Clean, preprocess, and transform data to ensure its quality, integrity, and suitability for analysis.
 Conduct exploratory data analysis to identify patterns, trends, and anomalies that can provide actionable insights
 Develop and maintain data pipelines, ensuring accurate and timely data processing and transformation
 Collaborate with stakeholders to understand data requirements and business needs and provide efficient solutions for data integration challenges.
 Create and maintain data pipelines and ETL jobs using ADF and SQL
 Assemble large complex data sets that meet functional/non-functional business requirements
 Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery and re-designing infrastructure for greater scalability
 Collaborate with business leaders, Executives, Data Scientists, BI Analytics, Product, Engineering, and other operational departments to ensure successful delivery of data integration and BI projects
 Perform data analysis required to troubleshoot data related issues and assist in the resolution of

data issues
 Perform data quality analysis and implement data governance practices to ensure data accuracy, consistency, and compliance
 Stay updated with emerging technologies and best practices in data integration, leveraging tools such as ETL (Extract, Transform, Load) processes and data integration platforms
 Experience with data visualization tools (e.g., Tableau, Power BI) and proficiency in SQL and working with databases
 Excellent analytical and problem-solving abilities, with the capability to interpret complex data sets and derive actionable insights.
 Outstanding communication skills, with the ability to effectively present complex ideas and findings to both technical and non-technical stakeholders.

Skill & Experience
 Education: bachelors or masters degree in computer science, Statistics, Mathematics, or Information Systems, or Progressive experience in Computer Science with experience in the development of applications
 Proficiency in programming languages such as Python, R, or Scala
 Strong knowledge of statistical analysis, machine learning techniques, and data modeling

How to Apply:

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