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Job Description: Data Engineer at Wipro

Location: Gandhi Bhawan, Hyderabad

Job Summary: Wipro is seeking a skilled and experienced Data Engineer to join our team in Gandhi Bhawan, Hyderabad. As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions that enable efficient data processing, storage, and analysis. We are looking for individuals with a strong background in data engineering, expertise in data integration and transformation, and a passion for working with large and complex data sets. This is an exciting opportunity to work with a global IT services and consulting company and contribute to impactful data-driven solutions.

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Responsibilities:

1. Data Pipeline Development: Design, implement, and optimize data pipelines to ingest, process, and transform structured and unstructured data from various sources. Collaborate with cross-functional teams to understand data requirements and ensure data quality and integrity.
2. Data Integration and Transformation: Develop ETL (Extract, Transform, Load) processes and workflows to integrate and transform data from diverse systems and sources. Apply data cleansing and normalization techniques to improve data quality.
3. Database Management: Design and optimize databases to store and retrieve data efficiently. Develop and maintain data models, database schemas, and indexing strategies to support data access and analysis.

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Skills and Qualifications:

• Data Engineering Expertise: Strong knowledge and hands-on experience in data engineering concepts, tools, and technologies. Proficiency in data integration, ETL processes, data modeling, and database management systems.
• Programming and Scripting: Proficiency in programming languages such as Python, Java, or Scala. Experience with scripting languages like SQL, Shell scripting, or PowerShell.
• Big Data Technologies: Familiarity with big data frameworks such as Hadoop, Spark, or Kafka. Knowledge of distributed computing and parallel processing concepts.
• Problem-solving and Analytical Skills: Ability to analyze complex data requirements, identify data patterns, and propose effective data engineering solutions. Strong problem-solving skills to troubleshoot data issues and optimize data processing workflows.