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Software Dev Engineer II

Bellevue, WA, United States

Pay Rate Range - $60/hr. to $63/hr. on W2

3 days onsite hybrid

Must Have

Python

writing code in AWS cloud

SQL and Spark

REQUIRED SKILLS

Years of Experience: 3- 5 years

Degree or Certification: N/A

Role

Building data lake using all AWS cloud services and must be comfortable working in AWS cloud and comfortable in writing business code must be comfortable in writing business logic into code.

Mainly he must have experience in writing code in the AWS cloud

Python is the topmost skills

SQL and Spark

candidate must have experience withing 3+ years of experience

Day to Day - No operations its pure building from scratch

Job Description

As a Software Development Engineer, your role will revolve around designing and building robust infrastructure to drive data-driven insights.

Core responsibilities include architecting scalable and fault-tolerant services to ingest data from various sources into data warehouses or lakes.

Leveraging cutting-edge tools and technologies, you'll implement ingestion, transformation, and integration processes, ensuring stringent data quality through validation, cleansing, and deduplication.

You'll design and implement high-performance, scalable, and cost-efficient data storage solutions. Utilizing CI/CD principles, you'll automate infrastructure deployment and maintenance processes, ensuring a streamlined data ecosystem.

Data modeling and engineering will be crucial, involving designing and implementing optimized data models, developing and maintaining ETL processes, and collaborating with analysts and functional managers to understand data needs and provide tailored data structures.

Continuous improvement and automation will be woven into your daily activities, continuously evaluating and optimizing processes, pipelines, and infrastructure, implementing automation and monitoring tools.

- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.

- Familiarity with data ingestion techniques, data processing frameworks, and data lake architectures.

- Experience with data standardization, cleansing, and transformation techniques.

- Strong proficiency in programming languages such as Python, Java, or Scala, and experience with big data technologies like Apache Spark, Hadoop, and AWS services (e.g., S3, Athena, Glue).

- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

- Strong problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.

- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.

- Experience with agile software development methodologies, version control systems (e.g., Git), and continuous integration/continuous deployment (CI/CD) practices.

Top skills:

• Building data lake using all AWS cloud services and must be comfortable working in AWS cloud and comfortable in writing business code, basically he must be comfortable in writing business logic into code.

• Mainly he must have experience in writing code in AWS cloud

• Python is the topmost skills

• SQL and Spark

• candidate must have experience withing 3+ years' experience

• Day to Day - No operations its pure building from scratch

Apply

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