Data Engineering Professional

2 weeks ago

Bengaluru, Karnataka, India beBeeDataEngineering Full time ₹ 15,00,000 - ₹ 25,00,000
Job Title: Data Engineering Professional

We are seeking an experienced data engineer to join our team. The successful candidate will be responsible for designing, building, and optimizing scalable data pipelines for batch and real-time data processing.

Key Responsibilities include:
  • Designing and implementing ETL processes to integrate data from multiple sources.
  • Managing and optimizing data storage solutions, including data warehouses, data lakes, relational, and NoSQL databases.
  • Ensuring data quality, integrity, governance, and security across all systems.
  • Collaborating with cross-functional teams to understand data requirements and deliver solutions.
  • Monitoring, troubleshooting, and improving data workflows and infrastructure performance.
  • Implementing automation for data ingestion, transformation, and reporting.

Required Skills & Qualifications include:
  • Bachelor's/Master's in Computer Science, Information Technology, or related field.
  • Proven experience as a data engineer or in a similar role.
  • Strong proficiency in SQL and database management.
  • Experience with big data frameworks (Hadoop, Spark, Kafka).
  • Hands-on experience with cloud platforms (AWS/GCP/Azure) and related services.
  • Knowledge of data modeling, ETL design, and data warehousing concepts.
  • Proficiency in Python/Java/Scala for data engineering tasks.
  • Familiarity with workflow orchestration tools (Airflow, Luigi, Prefect).
  • Understanding of data security, governance, and compliance best practices.

Requirements:
  1. Bachelor's/Master's degree in Computer Science, Information Technology, or related field.
  2. At least 2-4 years of experience in data engineering or a related field.

Responsibilities:
  • Design and implement data pipelines for batch and real-time data processing.
  • Develop and maintain ETL processes to integrate data from multiple sources.
  • Manage and optimize data storage solutions.
  • Ensure data quality, integrity, governance, and security.

Preferred Qualifications:
  • Experience with big data frameworks (Hadoop, Spark, Kafka).
  • Hands-on experience with cloud platforms (AWS/GCP/Azure) and related services.
  • Knowledge of data modeling, ETL design, and data warehousing concepts.
  • Proficiency in Python/Java/Scala for data engineering tasks.
  • Familiarity with workflow orchestration tools (Airflow, Luigi, Prefect).
  • Understanding of data security, governance, and compliance best practices.

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