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AWS Big data Engineer

AWS Big data Engineer

Siemens

8 - 13 years

8 - 12 Lacs

Bengaluru

Posted:5 hours ago| Platform:

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Skills Required

aws iam scala big data python data engineering hive glue amazon redshift pyspark emr kinesis java apache aws cloud api data transformation etl data lake snowflake dynamo db aws glue data quality lambda expressions kafka troubleshooting aws db

Work Mode

Work from Office

Job Type

Full Time

Job Description

Hello Talented Techie! We provide support in Project Services and Transformation, Digital Solutions and Delivery Management.We offer joint operations and digitalization services for Global Business Services and work closely alongside the entire Shared Services organization. We make optimal use of the possibilities of new technologies such as Business Process Management (BPM) and Robotics as enablers for efficient and effective processes. We are looking for Sr. 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.

Youd 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.

Create a better #TomorrowWithUs!
This role, based in Bangalore, is an individual contributor position. You may be required to visit other locations within India and internationally. In return, you'll have the opportunity to work with teams shaping the future.
At Siemens, we are a collection of over 312,000 minds building the future, one day at a time, worldwide.
Find out more about Siemens careers at

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Siemens

Automation Machinery Manufacturing

Munich Brande

10001 Employees

1936 Jobs

Key People

Roland Busch

President and Chief Executive Officer
Ralf P. Thomas

Chief Financial Officer
Barbara Humpton

CEO of Siemens USA

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AWS Big data Engineer