Data Engineer

4 weeks ago

Gurugram, India Airtel Payments Bank Full time

Job Description for a Data Engineer

Position: Data Engineer

Overview: We are seeking a skilled and motivated Data Engineer to join our dynamic team. The ideal candidate will play a crucial role in designing, developing, and maintaining our data architecture, ensuring the efficient flow and storage of information for analytical and business intelligence purposes.

Responsibilities:

1. Data Architecture:

• Design, develop, and maintain scalable and robust data architecture.

• Collaborate with data architects, data scientists, and analysts to understand data requirements.

2. Data Modelling:

• Develop and implement data models for efficient storage and retrieval of data.

• Optimize database performance and ensure data integrity.

3. ETL Processes:

• Design and implement ETL (Extract, Transform, Load) processes to move data from various sources to data warehouses.

• Ensure the timely and accurate loading of data.

4. Data Integration:

• Integrate data from multiple sources, ensuring consistency and reliability.

• Work on real-time data integration solutions when required.

5. Data Quality and Governance:

• Implement data quality checks and governance policies.

• Monitor and resolve data quality issues promptly.

6. Database Management:

• Administer and maintain databases, ensuring high availability and security.

• Perform regular backups, updates, and patches.

7. Collaboration:

• Collaborate with cross-functional teams to understand business needs and provide data solutions.

• Work closely with data scientists and analysts to support their data requirements.

8. Documentation:

• Create and maintain comprehensive documentation for data processes, architecture, and procedures.

• Train and support team members on data-related technologies.

Qualifications:

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

• Proven experience as a Data Engineer or similar role.

• Strong programming skills in languages such as Python, Java, or Scala.

• Proficiency in SQL and experience with relational and NoSQL databases.

• Knowledge of big data technologies such as Hadoop, Spark, and Kafka.

• Experience with cloud platforms like AWS, Azure, or Google Cloud.

• Familiarity with data warehousing solutions (e.g., Redshift, Snowflake).

• Strong problem-solving skills and attention to detail.

• Excellent communication and collaboration skills.

Preferred Skills:

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

• Knowledge of data streaming technologies (e.g., Apache Flink, Apache Kafka Streams).

• Understanding of machine learning concepts and data science workflows.

• Certification in relevant technologies is a plus.

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