At [Your Client's Company], we are dedicated to driving innovation and excellence in the field of data integration, aiming to enhance operational efficiency and decision-making processes across various industries. As a leading provider of data intelligence solutions, we are committed to fostering a dynamic and inclusive work environment where your talents are valued, and your contributions make a real difference.

Join our team of skilled professionals as we embark on a journey to revolutionize data integration and propel businesses towards success. We offer a collaborative atmosphere where creativity thrives, and opportunities for personal and professional growth abound.

Job Description:

Job Duties:

• Develop and maintain ETL (Extract, Transform, Load) processes to facilitate seamless data integration from diverse sources into our data repository.
• Craft and optimize intricate SQL queries to extract, transform, and aggregate data for analytical and reporting purposes.
• Utilize Python and R for data cleansing, manipulation, and statistical analysis tasks.
• Collaborate with cross-functional teams to comprehend data requirements and implement automated data pipelines.
• Ensure the quality and accuracy of data through the implementation of validation checks and error handling mechanisms.
• Harness the power of cloud-based solutions like Google BigQuery for scalable data analysis and transformation.
• Implement forecasting models such as ARIMA and Prophet to drive predictive analytics initiatives.
• Automate and orchestrate ETL processes using a variety of scripting languages, including Python and PowerShell.
• Integrate external data sources and APIs with visualization tools like Tableau to develop dynamic, real-time dashboards.
• Prioritize project tasks and adapt to scope changes while ensuring timely project delivery aligned with business objectives.
• Engage closely with stakeholders, including data analysts, business leaders, and IT teams, to align project goals with organizational needs.
• Lead project teams, allocate resources effectively, and monitor project progress using established project management methodologies.
• Maintain comprehensive documentation of project plans, milestones, and outcomes to facilitate effective communication and reporting.

Job Qualifications:

Education, Experience, Knowledge, and Skills:

• Bachelor's degree in Computer Science, Data Science, or a related field.
• Demonstrated expertise in SQL, with the ability to write complex queries and optimize for performance.
• Proficiency in Python and R for data manipulation, analysis, and visualization.
• Experience with ETL processes, data pipeline orchestration, and automation.
• Familiarity with cloud-based data warehouses such as Google BigQuery.
• Knowledge of forecasting models (e.g., ARIMA, Prophet) and statistical analysis techniques.
• Strong understanding of data governance principles and compliance standards.
• Excellent communication and collaboration skills for effective cross-functional teamwork.
• Solid project management capabilities, including planning, execution, and monitoring.
• Familiarity with project management methodologies such as Agile, Scrum, or Waterfall is advantageous.
• Possession of project management certifications (e.g., PMP, PRINCE2) is a plus.

Annual Pay Range:

$43,400 - $55,016 USD

[Your Client's Company] is committed to building a diverse and inclusive workforce, where every individual's unique talents and perspectives are respected and valued. We offer competitive compensation packages and opportunities for professional development and advancement. Join us on our journey to transform the landscape of data integration and drive innovation across industries.

Please apply through our website for consideration.

[Your Client's Company] is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, or veteran status. We maintain a Drug-Free Workplace.

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