Data Software Development Engineer

Siemens Software, a business unit of the Siemens Digital Industries, is a leading global provider of software solutions to drive the digital transformation of industry, creating new opportunities for manufacturers to realize innovation.
At Siemens we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrows reality. Find out more about the Digital world of Siemens here: www.siemens.com/careers/digitalminds
Do you want to build the data lake and analytics platforms that will drive our next generation marketing automation systems?
Position Overview:The data software development engineer is responsible for building and contributing to our next generation data platform. This individual will be working on a development team focused on the ingestion, normalization, and enrichment of marketing data as it flows through a data lake, various databases, and data orchestration procedures. This position will also work on piping that data to many of the internal consumers and marketing automation tools. The ideal candidate will have experience with data modeling, data access and data storage techniques using the AWS ecosystem and Snowflake.
Key functions:

• Experience with the AWS Data processing ecosystems, (Glue, Lambda, Step Functions, EMR, API-Gateway, RDS, DMS)
• Software programming skills using Python, Scala, or PySpark in a data engineering context
• Experience with structured and unstructured data, RDBMS and NoSQL Data Modeling, and data processing using JSON and Parquet files
• Knowledge of agile software development lifecycles such as Scrum and Kanban
• Experience in DevOps, CI/CD, AWS Cloud formation and deployment of serverless applications
• Experience with API and Web Services
• Experience with databases such as Snowflake, Postgres and knowledge of SQL language for data profiling
• Experience in dataflow monitoring using cloud watch metrics and create monitoring dashboards

Skills and abilities:

• Experience with the AWS Data processing ecosystems, (Glue, Lambda, Step Functions, EMR, API-Gateway, RDS, DMS)
• Software programming skills using Python, Scala, or PySpark in a data engineering context
• Experience with structured and unstructured data, RDBMS and NoSQL Data Modeling, and data processing using JSON and Parquet files
• Knowledge of agile software development lifecycles such as Scrum and Kanban
• Experience in DevOps, CI/CD, AWS Cloud formation and deployment of serverless applications
• Experience with API and Web Services
• Experience with data collection services such as Segment
• Experience with databases such as Snowflake, Postgres and knowledge of SQL language for data profiling
• Experience in dataflow monitoring using cloud watch metrics and create monitoring dashboards

Minimum qualifications:

• Bachelors degree in Computer Science or related field.
• 2+ years work experience showing proficiency in Python.
• 2+ years work experience in AWS data technologies (Glue, Kinesis, Lambda, Step Functions, EMR, ECS, SQS, SNS, DMS)

Preferred qualifications:

• 3+ years work experience in building/maintaining data lake using AWS Data Services
• 3+ years work experience developing in Python, PySpark, Scala, or Rust.
• 2+ years experience with databases such as Snowflake, Postgres, or Redshift.
• 2+ years experience working in an Agile development environment
• 2+ years experience with UNIX/Linux and shell scripting

At Siemens Digital Industries Software, we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrows reality. Find out more about the Digital world of Siemens here: www.siemens.com/careers/digitalminds

Where permitted by applicable law, Siemens may require employees to be fully vaccinated against COVID-19 based on job requirements, and in accordance with an accommodation based on legally protected reasons.

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Organization: Digital Industries

Company: Siemens Industry Software Inc.

Experience Level: Experienced Professional

Full / Part time: Full-time

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