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Big Data Engineer

3 months ago

Bengaluru, Karnataka, India Thoucentric Full time

Job Description:

As a Big Data Engineer, you will be responsible for designing, developing, and maintaining our big data infrastructure. You will work with large datasets, perform data processing, and support various business functions by creating data pipelines, data processing jobs, and data integration solutions. You will be working in a dynamic and collaborative environment, leveraging your expertise in Hive, Hadoop, and PySpark to unlock valuable insights from our data.

Key Responsibilities:

  • Data Ingestion and Integration:

Develop and maintain data ingestion processes to collect data from various sources.

Integrate data from different platforms and databases into a unified data lake.


  • Data Processing:

Create data processing jobs using Hive and PySpark for large-scale data transformation.

Optimize data processing workflows to ensure efficiency and

  • Pipeline Development:

Design and implement ETL pipelines to move data from raw to processed formats.

Monitor and troubleshoot data pipelines, ensuring data quality and

  • Modeling and Optimization:

Develop data models for efficient querying and reporting using Hive.

Implement performance tuning and optimization strategies for Hadoop and

  • Governance:

Implement data security and access controls to protect sensitive information.

Ensure compliance with data governance policies and best practices.


- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and provide data

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

3+ years of experience in big data engineering and data processing.

Proficiency in Hive, Hadoop, and PySpark.

Strong SQL and NoSQL database experience.

Experience with data warehousing and data modeling.

Knowledge of data integration, ETL processes, and data quality.

Strong problem-solving and troubleshooting skills.

Excellent communication and teamwork skills.

Preferred Qualifications:

Experience with cloud-based big data technologies (e.g., AWS EMR, Azure HDInsight, Google Dataprep).

Certification in Hadoop, Hive, or PySpark.

Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).

Knowledge of data visualization tools (e.g., Tableau, Power BI).