Wipro Recruitment 2023

Wipro is a leading global information technology company that provides cutting-edge solutions and services to empower businesses in the digital era. We are currently seeking a highly skilled and motivated Data Engineer to join our dynamic team. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining data infrastructure and pipelines to enable efficient and reliable data processing.

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Responsibilities:

1. Data Pipeline Development: Design, develop, and maintain scalable data pipelines and workflows to facilitate the efficient extraction, transformation, and loading (ETL) of large and complex data sets. Collaborate with cross-functional teams to understand data requirements and implement robust data integration solutions.
2. Data Quality Assurance: Implement data quality checks and validation processes to ensure data accuracy, completeness, and consistency. Identify and resolve data anomalies, inconsistencies, and performance bottlenecks in the data infrastructure. Continuously monitor and optimize data pipelines for improved efficiency and reliability.
3. Data Modeling and Optimization: Collaborate with data scientists and analysts to design and optimize data models for efficient storage, retrieval, and analysis. Develop and implement data governance strategies, including data security, privacy, and compliance, to ensure data integrity and regulatory adherence.

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Requirements:

1. Strong Programming Skills: Proficiency in programming languages such as Python, Java, or Scala, with experience in developing and optimizing data processing applications. Familiarity with frameworks like Apache Spark or Hadoop is advantageous.
2. Data Integration and ETL: Solid understanding of data integration concepts, including ETL processes, data extraction, data transformation, and data loading. Experience with tools like Apache Airflow or Informatica is preferred.
3. Database and SQL Knowledge: Experience working with relational databases (e.g., Oracle, SQL Server) and proficiency in SQL for data querying and manipulation. Knowledge of NoSQL databases (e.g., MongoDB, Cassandra) and data modeling concepts is a plus.