Data integration tools – Who Needs Engineers
https://whoneedsengineers.com/wne_live
Software Engineering RecruitmentSat, 26 Oct 2024 00:30:02 +0000en-US
hourly
1 https://wordpress.org/?v=6.6.2https://whoneedsengineers.com/wne_live/wp-content/uploads/2023/06/cropped-wne_logo-3-32x32.pngData integration tools – Who Needs Engineers
https://whoneedsengineers.com/wne_live
3232Data Engineer
https://whoneedsengineers.com/jobs/data-sciene-and-analytics/data-engineer-37/
Sat, 26 Oct 2024 00:30:02 +0000https://whoneedsengineers.com/wne_live/jobs/jobs-categories/data-engineer-37/Data Engineer
Job Description:
As a Data Engineer, you will be instrumental in the architecture, execution, and maintenance of advanced data pipelines and infrastructure, primarily utilizing Snowflake. Your role will require you to harness your skills in data integration tools and AWS cloud services to create seamless data flow across various platforms. You will collaborate extensively with cross-functional teams to ensure data integrity and promote best practices throughout the organization. In addition to developing data models, you will also work alongside data analysts and scientists to bolster analytical initiatives. Familiarity with Power BI for data visualization will be advantageous in this role, allowing you to provide actionable insights to stakeholders.
IT Languages:
SQL
Python
The role encompasses various responsibilities aimed at ensuring effective data management and analytics support.:
Design, develop, and maintain data pipelines on Snowflake using tools such as Appflow and IICS.;; Implement rigorous validation processes to ensure data quality and integrity.;; Collaborate with stakeholders to translate data requirements into scalable solutions.;; Optimize data models to cater to analytics and reporting needs while considering performance.;; Utilize AWS cloud services for data storage, processing, and analysis.;; Work alongside data experts to deploy machine learning models and support data science initiatives.;; Create engaging Power BI visualizations and dashboards to drive decision-making.;; Stay updated with emerging technologies and industry trends to enhance processes and solutions.
Spoken Languages:
English
Skillset:
Snowflake
AWS cloud services
Data integration tools
Data modeling
Power BI
SQL
Python
Soft Skills:
Excellent problem-solving skills
Attention to detail
Strong communication skills
Collaboration skills
Ability to work in a team environment
Qualifications:
Bachelor’s degree in a relevant business or technical field; a master’s degree is preferred.
Proven experience as a Data Engineer with an emphasis on Snowflake and AWS cloud services.
Strong expertise in SQL and familiarity with programming languages, particularly Python.
Experience with data modeling concepts and tools.
Understanding of data science techniques and tools.
Proficiency in Power BI or other data visualization platforms.
Years of Experience:
5
Location:
United States
Job Benefits:
Comprehensive training and career development programs
Competitive compensation and immediate 401k match
Profit-sharing opportunities
Comprehensive medical, dental, and vision benefits through Blue Cross Blue Shield
Community engagement and matching gift programs
Flexible work arrangements and hours
Sick, vacation, and holiday pay
Wellness activities including health screenings and nutritional sessions
Working Conditions:
Full Time
Employment Type:
Permanent Contract
Company Culture:
The organization fosters a diverse and inclusive workplace where employees are encouraged to pursue their professional development. They value community involvement and promote a healthy work-life balance.
Opportunities For Advancement:
Access to continuous learning and professional growth, Potential for upward mobility within the organization
Join a dynamic team as a Data Engineer, where you will be an integral part of our data management and infrastructure development. In this role, you will design, build, and maintain data pipelines on Snowflake, utilizing your skills in data integration tools and AWS cloud services. Your expertise will help ensure the seamless flow of data across various systems while maintaining data integrity and adherence to industry best practices. You will also engage in data modeling efforts and collaborate with data analysts and scientists to drive advanced analytics initiatives. Familiarity with Power BI for creating visualizations will be an added advantage. This position offers the opportunity to work closely with cross-functional teams, allowing you to enhance your skills and contribute to innovative projects that impact our operations and decision-making processes.
IT Languages:
SQL
Python
As a Data Engineer, you will be responsible for the following key tasks::
Design, develop, and maintain robust data pipelines on Snowflake using various integration tools;; Ensure the quality and integrity of data through rigorous validation and management processes;; Collaborate with stakeholders to gather and understand data requirements, translating them into efficient solutions;; Implement and optimize data models to support analytics and reporting needs, focusing on performance and scalability;; Utilize AWS cloud services for data storage, processing, and analysis;; Work with data experts to deploy machine learning models and support data science initiatives;; Create insightful Power BI visualizations and dashboards to assist stakeholders in decision-making;; Stay updated on emerging technologies and industry trends to continuously enhance processes and solutions
Spoken Languages:
English
Skillset:
Snowflake
AWS
Data Integration Tools
SQL
Python
Data Modeling
Power BI
Soft Skills:
Excellent problem-solving skills
Attention to detail
Strong communication abilities
Collaboration skills
Qualifications:
Bachelor’s degree in a relevant field; Master’s degree preferred
Proven experience as a Data Engineer focused on Snowflake and AWS cloud services
Strong proficiency in SQL
Experience with programming languages such as Python
Familiarity with data modeling concepts and tools
Understanding of data science techniques and tools
Experience with Power BI or similar data visualization tools
Years of Experience:
5
Location:
United States
Job Benefits:
Training and career development programs
Competitive compensation and immediate 401k match
Profit sharing and comprehensive health benefits
Community engagement activities and matching gift programs
Flexible work arrangements and paid time off
Wellness activities such as health screenings and nutritional sessions
Working Conditions:
Full Time
Employment Type:
Permanent Contract
Company Culture:
We are committed to fostering a diverse and inclusive workplace that values each employee's unique background and perspectives. Our culture encourages collaboration, innovation, and professional growth. We believe in supporting our employees through various initiatives, including training programs, wellness activities, and community engagement.
Opportunities For Advancement:
Career development programs, Mentorship opportunities, Access to industry conferences and workshops
We are seeking a skilled Data Engineer to join our dynamic team in Berlin. In this critical role, you will be responsible for designing and implementing robust data pipelines that support the strategic marketing initiatives of our organization. You will work closely with data scientists and marketing teams to transform complex data sets into actionable insights that drive successful campaigns. This position offers a unique opportunity to leverage cutting-edge technologies while contributing to impactful marketing solutions in a fast-paced environment.
IT Languages:
SQL
Python
As a Data Engineer, your primary responsibilities will include the following::
Design and implement scalable data pipelines to support marketing efforts;; Develop and maintain ETL processes for efficient data handling;; Collaborate with cross-functional teams to provide data-driven solutions;; Optimize data storage and retrieval systems for enhanced performance;; Ensure compliance with data security and governance standards;; Stay updated with the latest industry trends and technologies
Spoken Languages:
English;; German
Skillset:
Data modeling
ETL processes
Cloud platforms
Data integration tools
Data visualization tools
Soft Skills:
Strong problem-solving abilities
Attention to detail
Excellent communication skills
Team collaboration
Qualifications:
Bachelor’s degree in Computer Science, Engineering, or a related field
Proven experience in data engineering roles
Years of Experience:
5
Location:
Berlin, Germany, EU
Job Benefits:
Competitive salary up to €78,000 annually
Flexible hybrid working model with minimal office visits
Access to professional development and training resources
Full health insurance and wellness support
Flexible working hours for improved work-life balance
Engaging team culture with regular team-building activities
Working Conditions:
Hybrid
Employment Type:
Permanent Contract
Company Culture:
Our company fosters a collaborative and innovative environment where employees are encouraged to share ideas and contribute to the collective success. We prioritize work-life balance and support continuous learning and professional growth.
Opportunities For Advancement:
Access to training and certifications, Opportunities for career progression within the organization