Companies like Zeotap stand out in the fast-paced data environment for their creative use of customer data platforms. In data engineering, a software engineer’s job is crucial to handling and optimizing the enormous volumes of data that inform business choices.
Table of Contents
ToggleAbout Zeotap
Background of the Company
Zeotap is a state-of-the-art consumer data platform that guarantees privacy and compliance while uniting, improving, and activating client data. Zeotap, named a “Cool Vendor” by Gartner, works with well-known international companies like Virgin Media, Nestlé, and P&G.
Acknowledgment and Customers
Zeotap is a reliable partner in the data sector, with over 80 of the top 100 brands in the globe on its list. Its dedication to consumer privacy and compliance establishes it as a frontrunner in the industry.
Goals and Objectives
Zeotap’s goal is to enable brands with strong data solutions so they can thrive in a world without cookies. The company’s vision is centered on data management and activation innovation and excellence.
Role of an Software Engineer - Data Engineering
Job Title and Location
- Job Title: Software Engineer – Data Engineering
- Location: Bengaluru
- Company: Zeotap
Working at Zeotap as a Software Engineer in Data Engineering, you will be essential to the development and implementation of reliable, scalable, and high-performing data pipelines. A combination of technical expertise, problem-solving skills, and a love of data are needed for this position.
Apply Here: Software Engineer - Data Engineering
- Job Designation: Software Engineer – Data Engineering
- Salary: 6 – 10 LPA
- Qualification: Bachelor’s or master’s degree
- Experience: 0 – 1+ Years
- Organization Name: Zeotap
- Website: Zeotap
- Industry: Data-driven services
- Locations: Bengaluru
- Mode: offline
Key Responsibilities: Software Engineer - Data Engineering
Creating and Putting into Use Data Pipelines
Using Spark, Scala, and Airflow, engineers will create reliable, scalable, and high-performance data pipelines. Proficiency in Google Cloud is crucial for smooth integration and optimal performance.Constructing and Preserving Architectures
A significant portion of the work involves building and managing large-scale processing systems and databases. Creating and testing architectures to satisfy business requirements is part of this.Putting Together Complex Data Sets
Large, complicated data sets that satisfy both functional and non-functional business needs must be assembled by engineers.Constructing Infrastructure for ETL
Building the necessary infrastructure for efficient data extraction, transformation, and loading (ETL) from several sources is part of the job description.Working together with Data Scientists
In order to enhance data models and propel business operations, close cooperation with data scientists and other stakeholders is essential.
Technologies and Tools
Apache Spark
A key component of data processing, Apache Spark offers high-performance capabilities for managing massive datasets.Scala
Scala is utilized for scalable data engineering solutions because of its strong typing and functional programming features.Air Movement
Apache Airflow is used to coordinate intricate data processes and guarantee seamless data transfer across phases.Google Cloud
Scalability and dependability are guaranteed by the infrastructure that Google Cloud offers for data processing, storage, and management.
Skills and Requirements
Experience and Problem-Solving Skills
In addition to having excellent problem-solving abilities and a firm grasp of data structures and algorithms, candidates should have at least one year of experience developing and implementing large-scale solutions.
Required Technical Skills
Coding Proficiency
Expert-level coding abilities in Scala or Java.
Python or Go: Additional coding abilities are a major asset.Experience with Big Data Stacks
It is required to have prior experience with Apache Spark or other Big Data technologies.Understanding of databases
It is quite helpful to have a thorough understanding of OLTP, OLAP, NoSQL, or graph databases.
Preferred Qualifications
Requirements for Education
It is preferred to have a bachelor’s or master’s degree in computer science, information systems, or a related discipline.Extra Capabilities
It is helpful to have knowledge of scalable Big Data technologies, distributed systems, and streaming technologies like Kafka, Flink, and Samza.
Work Environment at Zeotap
Company Culture: Zoomapt promotes a creative and cooperative work atmosphere that values teamwork and ongoing education.
Group Cooperation
Being a member of the Zeotap team entails contributing to a group that values different viewpoints and cooperative problem-solving.
Benefits and Perks
Compensation
In order to draw in top people, competitive remuneration packages are provided.Health Benefits
To guarantee the wellbeing of employees, comprehensive health insurance coverage is offered.Support for Flexible Working
Offering assistance and direction for flexible work schedules enables staff members to preserve a healthy work-life balance.
Career Growth Opportunities
Instruction and Counseling
Zeotap promotes ongoing growth and development by offering in-depth instruction and direction from qualified experts.Quick-Speeded Workplace
The dynamic work environment at the organization provides chances to work on innovative projects and technology.
Application Process
How to Apply
Candidates that are interested can apply via job marketplaces or Zeotap’s official website. Multiple rounds of technical examinations and interviews are part of the application process.
Conclusion
A rare opportunity to work with cutting-edge technology, collaborate with top professionals, and contribute to creative data solutions exists when one joins Zeotap as a Software Engineer in Data Engineering.
Zeotap is the right location for you if you have a strong interest in data engineering and are seeking a demanding yet fulfilling position.
FAQs
What is a Data Engineer’s primary responsibilities at Zeotap?
Maintaining top-notch data processing systems and designing and implementing scalable data pipelines are the essential responsibilities.Which technology are most frequently utilized in this capacity?
There is broad adoption use of technologies like Spark, Scala, Airflow, and Google Cloud.How is employee growth supported by Zeotap?
Zeotap offers extensive training, adaptable work schedules, and access to a worldwide professional network.Why is working at Zeotap a special place?
Zeotap is distinguished by its dedication to innovation, client satisfaction, and a positive work atmosphere.How does one go about applying for this job?
Applying is available through Zeotap’s career portal or appropriate job advertising websites for interested parties.