Data Engineer

3 weeks ago


Hyderabad, Telangana, India Info Services Full time

Responsibilities :

Data Pipeline Production & Operations :

- Possess a minimum of 4+ years of experience in data engineering.

- Collaborate with the data engineering team to finalize the setup of our data pipeline for production.

- Implement monitoring and alerting systems for the data pipeline using tools like AWS CloudWatch or similar solutions.

- Establish effective change management procedures to ensure smooth deployment of updates and modifications to the pipeline.

- Develop and maintain runbooks to document operational procedures and troubleshooting steps for the data pipeline.

Operational Excellence :

- Implement robust incident management protocols to identify, diagnose, and resolve issues affecting the data pipeline.

- Proactively identify and mitigate potential risks to the data pipeline's operational stability.

- Advocate for and implement best practices for data pipeline operations and maintenance.

Technical Skills :

- Strong experience with cloud platforms, particularly AWS, for data pipeline deployment and management.

- Proficiency in Apache Spark for distributed data processing tasks within the pipeline.

- Experience with data visualization tools like Grafana or other dashboarding platforms for monitoring pipeline performance.

- Familiarity with data warehousing and data modeling concepts is a plus.

Additional Skills :

- Strong sense of urgency and a commitment to delivering results on time.

- Excellent communication and collaboration skills to work effectively with cross-functional teams (data engineering, operations).

- Ability to work independently and take ownership of assigned tasks.

Qualifications :

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

- Minimum of 4+ years of hands-on experience in data engineering.

- Proven track record of successfully designing, developing, and deploying data pipelines.

- Experience with operational best practices for data pipelines in production environments.

- Strong understanding of cloud computing principles and experience with AWS is a plus.

- Proficiency in Apache Spark for distributed data processing.

- Familiarity with data visualization tools (e.g, Grafana).

- Excellent problem-solving and analytical skills

(ref:hirist.tech)
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