- Role: Data Engineer
- Company: Wipro
- Location: Bhubaneswar, Orissa
- Qualifications: Bachelor’s degree
- Experience: 3 Years
- Job Type: Full-Time
About Wipro:
Wipro is a chief international information technology, consulting, and corporation manner offerings employer. We harness the power of cognitive computing, hyper-automation, robotics, cloud, analytics, and rising technologies to help our customers adapt to the digital world and make them an achievement. An agency recognized globally for its whole portfolio of services, strong strength of will to sustainability, and actual business enterprise citizenship, we’ve been given over 220,000 dedicated personnel serving customers at some point on six continents. Together, we discover ideas and join the dots to construct a better and bold new destiny.
Job Description:
Wipro is seeking a professional and modern Data Engineer to join our dynamic crew. As a Data Engineer, you could play a pivotal position in designing, building, and keeping scalable information pipelines and structures that support diverse data-pushed obligations. You will work intently with skip-practical groups, which include facts scientists, analysts, and software program application engineers, to make certain that data is properly collected, converted, and made available for each actual time and batch processing.
Data Engineer Responsibilities:
1.Data Pipeline Development:
- Design, place into effect, and optimize information pipelines that efficaciously technique huge-scale datasets.
- Develop ETL (Extract, Transform, Load) strategies to accumulate, clean, and remodel records from diverse belongings, ensuring information integrity and accuracy.
- Automate and orchestrate records workflows to facilitate the seamless movement of facts throughout systems.
2.Database Management:
- Design and placed into effect statistics models and schemas for records storage and retrieval.
- Optimize database normal overall performance through indexing, partitioning, and query optimization.
- Ensure records protection, availability, and reliability throughout all database systems.
3.Data Integration:
- Work with a couple of records assets, together with mounted, semi-mounted, and unstructured data, to create incorporated and consistent data perspectives.
- Collaborate with data scientists and analysts to increase information solutions that help predictive analytics, and gain knowledge of models, and reporting.
4.Cloud & Big Data Technologies:
- Leverage cloud structures (e.g., AWS, Azure, Google Cloud) to construct scalable and cost-effective statistics answers.
- Utilize huge records technologies together with Hadoop, Spark, and Kafka for processing and managing large datasets.
5.Data Governance & Compliance:
- Implement records governance great practices, which include records lineage, metadata manipulation, and statistics cataloging.
- Ensure compliance with information privacy guidelines which incorporate GDPR, CCPA, and special applicable necessities.
6.Performance Monitoring & Optimization:
- Monitor the overall performance of facts pipelines and systems, identifying bottlenecks and areas for development.
- Continuously decorate facts processing times and decrease latency for real-time facts programs.
7.Collaboration & Communication:
- Work carefully with stakeholders to apprehend company requirements and translate them into technical answers.
- Document information structure, fact flows, and strategies to make certain data sharing all through companies.
- Provide technical aid and steerage to junior statistics engineers and different groups of individuals.
Educational Background:
- Bachelor’s or Master’s diploma in Computer Science, Information Technology, Data Science, or an associated trouble.
Technical Skills:
- Proficiency in programming languages together with Python, Java, or Scala.
- Strong experience with SQL and NoSQL databases.
- Hands-on revel in ETL equipment and frameworks.
- Familiarity with cloud systems like AWS, Azure, or Google Cloud.
- Knowledge of large facts technologies which include Hadoop, Spark, and Kafka.
- Understanding of records warehousing ideas and systems (e.g., Snowflake, Redshift, BigQuery).
Experience:
- Minimum of 3 years of experience in information engineering or a related characteristic.
- Proven music document of constructing and coping with scalable information pipelines.
- Experience with information governance and compliance practices.
Soft Skills:
- Excellent trouble-solving abilities and hobby to element.
- Strong conversation and collaboration abilities.
- Ability to paintings in a short-paced, agile surroundings.
- Willingness to examine and adapt to new technologies and methodologies.
Why Wipro?
- Global Exposure: Work on difficult tasks with international customers and advantage exposure to several industries and eras.
- Career Growth: Access to non-forestall gaining knowledge of possibilities and career development applications that will help you increase your career.
- Innovative Culture: Be part of a way of life that encourages innovation, creativity, and experimentation.
- Work-Life Balance: Benefit from our determination to artwork-existence balance with bendy artwork preparations.
- Employee Well-being: Take advantage of our whole fitness and fitness applications designed to guide your bodily and highbrow well-being.
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