Senior Project Manager

We are looking for an experienced Data Engineer with expertise in Python to become a vital member of our innovative team. The successful candidate will possess 10 to 15 years of experience in data engineering, demonstrating a successful history of designing, constructing, and sustaining scalable data pipelines and architectures. In this key position, you will be essential in converting raw data into valuable insights, facilitating data-driven decision-making throughout the organization.

Responsibilities:

• Design, develop, and manage robust data pipelines and ETL processes to facilitate data ingestion and transformation.

• Collaborate with data scientists, analysts, and other stakeholders to comprehend data requirements and provide high-quality data solutions.

• Develop data models and architectures that cater to analytics and reporting needs.

• Enhance data storage and retrieval processes to guarantee efficient data access and optimal performance.

• Monitor and troubleshoot the performance of data pipelines, ensuring data quality and reliability.

• Document data engineering workflows, architectures, and best practices for future reference.

• Stay informed about the latest trends and technologies in data engineering and analytics.

Mandatory Skills:

• Strong command of Python, with substantial experience in data manipulation and analysis.

• Thorough understanding of data warehousing principles and data modeling techniques.

• Experience with ETL tools and frameworks (e.g., Apache Airflow, Talend, or similar).

• Proficient in SQL and experienced with relational databases (e.g., PostgreSQL, MySQL, or similar).

• Familiarity with big data technologies (e.g., Hadoop, Spark, or similar) is advantageous.

• Experience with cloud platforms (e.g., AWS, Azure, or Google Cloud) and their associated data services.

Preferred Skills:

• Knowledge of data visualization tools (e.g., Tableau, Power BI, or similar).

• Experience with machine learning frameworks and libraries.

• Familiarity with containerization technologies (e.g., Docker, Kubernetes).

• Strong problem-solving abilities and the capacity to work both independently and collaboratively.

• Excellent communication skills, capable of articulating complex technical concepts to non-technical stakeholders.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related discipline.

• 10 to 15 years of pertinent experience in data engineering or a similar capacity.

• Proven expertise in constructing and maintaining data pipelines and architectures.

• Strong analytical abilities and meticulous attention to detail.