Job Title : Data Engineer
Salary : 10.7 Lakhs per year (₹89.4k per month).
Location : Chennai, Tamil Nadu
Company : Virtusa
Qualifications : Graduate
Experience : 1 year of experience to 7 years
ABOUT VIRTUSA
Virtusa Corporation is a international information generation offerings agency imparting IT consulting, generation and outsourcing services. Founded in 1996 and focused in Massachusetts, USA, Virtusa operates in over 20 countries with delivery facilities in North America, Europe, and Asia. The business enterprise offers a vast kind of services which include digital transformation, engineering, cloud, statistics, and analytics offerings to clients across diverse industries which includes banking and economic offerings, healthcare, telecommunications, and media.
Virtusa is thought for its expertise in leveraging rising era like artificial intelligence, system mastering, and blockchain to assist clients innovate and stay competitive inside the digital age. The organisation emphasizes a consumer-first approach and has constructed sturdy partnerships with fundamental generation organizations such as Microsoft, AWS, and Salesforce.
In addition to its technical capabilities, Virtusa places a robust emphasis on enterprise social responsibility and sustainability, supporting various tasks related to training, environment, and network development globally. As of latest updates, it continues to amplify its service offerings and geographical footprint to higher serve its international clients.
Job Overview:
A Data Engineer is liable for designing, constructing, putting in, checking out, and retaining highly scalable records management structures. They work carefully with records architects, facts analysts, and records scientists to apprehend data needs and to make certain the provision and reliability of records for analysis.Data Engineers generally paintings with huge datasets, employing numerous tools and technologies to cleanse, arrange, and rework information into formats suitable for analytical processing.
Key Responsibilities of Data Engineer:
- Data Pipeline Development: Designing and growing strong statistics pipelines to accumulate, cleanse, transform, and keep records from diverse resources.
- Data Modeling and Database Management: Creating and dealing with facts models and databases optimized for large-scale datasets and analytical workloads.
- Data Integration: Integrating statistics from a couple of resources, making sure data consistency and reliability throughout unique structures.
- Data Quality and Governance: Implementing statistics exceptional requirements and governance tactics to ensure facts accuracy, integrity, and safety.
- Performance Optimization: Tuning facts garage and processing structures for most reliable overall performance and scalability.(Data Engineer)
- Collaboration: Working carefully with go-purposeful groups which includes facts scientists, analysts, and enterprise stakeholders to apprehend information necessities and deliver solutions.
- Data Integration: Integrating statistics from a couple of resources, making sure data consistency and reliability throughout unique structures.
- Tools and Technologies: Utilizing plenty of gear and technology consisting of SQL databases (e.G., PostgreSQL, MySQL), large statistics platforms (e.G., Hadoop, Spark), cloud services (e.G., AWS, Azure, Google Cloud), ETL tools (e.G., Apache Airflow, Talent), and programming languages (e.G., Python, Scala).
Skills and Qualifications of Data Engineer:
- Strong programming competencies, particularly in languages used for data manipulation and evaluation (e.G., Python, SQL).
- Experience with huge information technology and frameworks.
- Proficiency in facts modeling and database design.(Data Engineer)
- Understanding of records warehousing concepts and methodologies.
- Knowledge of cloud systems and services for statistics garage and processing.
- Problem-fixing and analytical skills to cope with complicated data-related problems.
- Strong verbal exchange talents to collaborate successfully with group individuals and stakeholders.
- Experience with huge information technology and frameworks.
Career Path and Growth:
Data Engineers can enhance into roles which include Lead Data Engineer, Data Architect, or move into specialised areas like Machine Learning Engineering or Data Science. Continuous getting to know and staying up to date with evolving technology are critical for career increase on this subject.
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