Big Data Developer (3-7 yrs)

Overview :

The Bigdata Developer plays a vital role in today's data-driven organizations by enabling the extraction, transformation, and loading (ETL) of large volumes of data from diverse sources to generate actionable insights.

This position leverages advanced technologies that support the storage, processing, and analysis of big data. Bigdata Developers are crucial for ensuring that organizations can efficiently manage and utilize their data assets, contributing to business decisions and strategic planning.

They collaborate closely with data architects, data analysts, and business stakeholders to design and implement robust data solutions that cater to both operational and analytical requirements.

The role requires a strong technical background combined with a deep understanding of data management concepts and tools.

As businesses increasingly rely on big data analytics, the demand for skilled Bigdata Developers continues to grow, underscoring the importance of this position in driving innovation and maintaining a competitive edge.

Key Responsibilities :

- Design and develop data processing pipelines using Hadoop and Spark.

- Collaborate with data architects to create data models that meet business requirements.

- Implement ETL processes for data extraction, transformation, and loading.

- Conduct data analysis to identify patterns, trends, and insights.

- Optimize data storage solutions for performance and scalability.

- Create and maintain technical documentation for data solutions.

- Ensure data quality and integrity across various data sources.

- Monitor performance and troubleshoot issues in data processing workflows.

- Implement data governance and security best practices.

- Work with cloud platforms to manage and analyze big data.

- Integrate APIs for data ingestion from external sources.

- Collaborate with business users to understand their data needs.

- Stay updated on emerging big data technologies and tools.

- Engage in code reviews and best practices for data development.

- Provide training and support to team members on big data tools.

Required Qualifications :

- Bachelor's degree in Computer Science, Information Technology, or a related field.

- 3+ years of experience in big data development or related roles.

- Strong proficiency in SQL for data manipulation and querying.

- Hands-on experience with Hadoop ecosystem components such as HDFS, MapReduce, and YARN.

- Proficient in Apache Spark, including Spark SQL and DataFrames.

- Experience with data modeling techniques and best practices.

- Familiarity with ETL tools and methodologies.

- Programming skills in Java, Scala, or Python for data processing.

- Knowledge of cloud technologies like AWS, Azure, or Google Cloud.

- Understanding of API design and integration.

- Strong analytical and problem-solving abilities.

- Excellent communication skills for stakeholder engagement.

- Experience with data visualization tools is a plus.

- Understanding of data governance standards and best practices.

- Ability to work in a fast-paced, team-oriented environment.