Auf einen Blick
- Aufgaben: Build and optimize data pipelines for cross-functional teams using Big Data technologies.
- Arbeitgeber: SalesIntel is the leading revenue intelligence platform, excelling in B2B data solutions.
- Mitarbeitervorteile: Enjoy a collaborative environment with opportunities for innovation and professional growth.
- Warum dieser Job: Join us to shape the future of data architecture and drive impactful projects.
- Gewünschte Qualifikationen: 5+ years in Data Engineering, strong coding skills, and experience with Apache Spark required.
- Andere Informationen: Ideal for self-directed individuals who thrive in dynamic, Agile settings.
Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.
JOB OVERVIEW:
SalesIntel is the top revenue intelligence platform on the market. Our unique approach to data collection, enhancement, verification and growth distinguishes us from the market, solidifying our position as the best B2B data partner.
The Senior Data Engineer will be responsible for building and extending our data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys working with big data and building systems from the ground up.
You will collaborate with our software engineers, database architects, data analysts and data scientists to ensure our data delivery architecture is consistent throughout the platform. You must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.
What You’ll Be Doing:
- Design and build parts of our data pipeline architecture for extraction, transformation, and loading of data from a wide variety of data sources using the latest Big Data technologies.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Work with machine learning, data, and analytics experts to drive innovation, accuracy and greater functionality in our data system.
Qualifications:
- Bachelor’s degree in Engineering, Computer Science, or relevant field.
5+ years of experience in a Data Engineer role. - 3+ years experience with Apache Spark and solid understanding of the fundamentals.
- Deep understanding of Big Data concepts and distributed systems.
- Strong coding skills with Scala, Python, Java and/or other languages and the ability to quickly switch between them with ease.
- Advanced working SQL knowledge and experience working with a variety of relational databases such as Postgres and/or MySQL.
- Cloud Experience with DataBricks
- Experience working with data stored in many formats including Delta Tables, Parquet, CSV and JSON.
- Comfortable working in a linux shell environment and writing scripts as needed.
- Comfortable working in an Agile environment
- Machine Learning knowledge is a plus.
- Must be capable of working independently and delivering stable, efficient and reliable software.
- Excellent written and verbal communication skills in English.
- Experience supporting and working with cross-functional teams in a dynamic environment.
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
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Senior Data Engineer Arbeitgeber: Astegic Inc.
Kontaktperson:
Astegic Inc. HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior Data Engineer
✨Tip Number 1
Familiarize yourself with the latest Big Data technologies and tools, especially Apache Spark, as this is crucial for the role. Consider contributing to open-source projects or building your own projects that showcase your skills in data pipeline architecture.
✨Tip Number 2
Network with professionals in the data engineering field, particularly those who have experience with cloud platforms like DataBricks. Attend industry meetups or webinars to connect with potential colleagues and learn about their experiences.
✨Tip Number 3
Prepare to discuss your experience with cross-functional teams during the interview. Think of specific examples where you collaborated with software engineers, data analysts, or product teams to solve data-related challenges.
✨Tip Number 4
Showcase your coding skills by being ready to solve real-world problems during technical interviews. Brush up on your knowledge of Scala, Python, and SQL, and practice coding challenges that reflect the types of tasks you would encounter in this role.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Data Engineer
Tipps für deine Bewerbung 🫡
Tailor Your Resume: Make sure to customize your resume to highlight your experience with data pipeline architecture, big data technologies, and relevant programming languages like Scala, Python, or Java. Emphasize your 5+ years of experience in a Data Engineer role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your excitement about optimizing data architectures. Mention specific projects where you've successfully implemented process improvements or worked with cross-functional teams.
Showcase Technical Skills: In your application, clearly outline your technical skills, especially your experience with Apache Spark, SQL, and cloud technologies like DataBricks. Provide examples of how you've used these skills in past roles.
Highlight Collaboration Experience: Since the role involves working with various teams, include examples of your experience collaborating with software engineers, data analysts, and other stakeholders. This will demonstrate your ability to support diverse data needs effectively.
Wie du dich auf ein Vorstellungsgespräch bei Astegic Inc. vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Apache Spark, Scala, Python, and SQL in detail. Highlight specific projects where you built or optimized data pipelines, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Collaboration
Since the role involves working with cross-functional teams, share examples of how you've successfully collaborated with software engineers, data analysts, and other stakeholders. Emphasize your communication skills and ability to support diverse data needs.
✨Discuss Big Data Concepts
Make sure you can articulate your understanding of Big Data concepts and distributed systems. Be ready to discuss how you've applied these concepts in previous roles, particularly in relation to scalability and data architecture.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, especially regarding data flow optimization and process improvements. Think of specific instances where you automated processes or redesigned infrastructure, and be ready to walk through your thought process.