Data Engineer - Hyderabad, India - ValueLabs

Description

Role:

Data Engineer with AWSExperience:

5-9 yearsNotice Period:

Immediate - 10 daysLocation:
Hyderabad

We are seeking a highly skilled Data Engineer to join our dynamic team.

Job Description


Key Responsibilities:
Develop and maintain data models, data flow diagrams, and other documentation to support the organization's data architecture.
Collaborate with cross-functional teams to understand business and technical requirements, and translate them into data architecture solutions.
Design and implement data storage solutions using Amazon S3, DynamoDB, and RDS, ensuring scalability, performance, and cost-effectiveness.
Develop and maintain data processing pipelines using AWS services like AWS Lambda, Apache Spark, and Python.
Design and implement data security measures, including encryption, access controls, and compliance with data privacy regulations.
Optimize data processing and storage costs by identifying and implementing cost-saving measures.
Continuously stay up-to-date with AWS service updates and industry best practices.
Provide technical guidance and mentorship to data engineers and other team members on AWS data services and best practices.
Lead the evaluation and selection of new data engineering tools and technologies.


Requirements:
Experience in data engineering, with a focus on AWS services.
Strong programming skills in Python, Java, or Scala.

Extensive experience with AWS services such as Amazon Kinesis, Redshift, Glue, Lambda, S3, DynamoDB, and RDS.Familiarity with data processing tools like Apache Spark, Hadoop, or Pig.

Strong understanding of data modeling, ETL processes, and data quality principles.
Experience with data security and compliance standards.
Excellent problem-solving and analytical skills.
Strong communication and presentation skills.
Demonstrated ability to lead and mentor team members on data architecture principles and best practices.

Regards,ValueLabs