AWS Big Data Engineer

Siemens

8 - 10 years

10 - 15 Lacs

Bengaluru Karnataka India

Posted:2 weeks ago| Platform: Foundit logo

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Skills Required

AWS API Big Data Engineer

Work Mode

On-site

Job Type

Full Time

Job Description

We are looking forSr. AWS Cloud Architect

Architect and Design
: Develop scalable and efficient data solutions using AWS services such as AWS Glue, Amazon Redshift, S3, Kinesis(Apache Kafka), DynamoDB, Lambda, AWS Glue(Streaming ETL) and EMR
Integration
: Integrate real-time data from various Siemens organizations into our data lake, ensuring seamless data flow and processing.
Data Lake Management
: Design and manage a large-scale data lake using AWS services like S3, Glue, and Lake Formation.
Data Transformation
: Apply various data transformations to prepare data for analysis and reporting, ensuring data quality and consistency.
Snowflake Integration
: Implement and manage data pipelines to load data into Snowflake, utilizing Iceberg tables for optimal performance and flexibility.
Performance Optimization
: Optimize data processing pipelines for performance, scalability, and cost-efficiency.
Security and Compliance
: Ensure that all solutions adhere to security best practices and compliance requirements.
Collaboration
: Work closely with cross-functional teams, including data engineers, data scientists, and application developers, to deliver end-to-end solutions.
Monitoring and Troubleshooting
: Implement monitoring solutions to ensure the reliability and performance of data pipelines. Troubleshoot and resolve any issues that arise.

You'd describe yourself as:

Experience
: 8+ years of experience in data engineering or cloud solutioning, with a focus on AWS services.
Technical Skills
: Proficiency in AWS services such as AWS API, AWS Glue, Amazon Redshift, S3, Apache Kafka and Lake Formation. Experience with real-time data processing and streaming architectures.
Big Data Querying Tools:
Strong knowledge of big data querying tools (e.g., Hive, PySpark).
Programming
: Strong programming skills in languages such as Python, Java, or Scala
for building and maintaining scalable systems.
Problem-Solving
: Excellent problem-solving skills and the ability to troubleshoot complex issues.
Communication
: Strong communication skills, with the ability to work effectively with both technical and non-technical stakeholders.
Certifications
: AWS certifications are a plus.

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