Big Data Spark Developer with Python
Natsoft
7 months 3 weeks ago
Job Details
Role: Big Data Spark Developer with Python
Location: HP Vancouver, Washington, US
Years of experience needed: 10+ years
Technical Skills:
- Design and implement distributed data processing pipelines using Spark, Python, SQL and other tools and languages prevalent in the Big Data/Lakehouse ecosystem.
- Analyzes design and determines coding, programming, and integration activities required based on general objectives.
- Play the technical lead role representing deliverables from vendor team resources at onsite and offshore locations.
- Lead the technical co-ordination and Business Knowledge transition activities to offshore team.
- Reviews and evaluates designs and project activities for compliance with architecture, security and quality guidelines and standards
- Writes and executes complete testing plans, protocols, and documentation for assigned portion of data system or component; identifies defects and creates solutions for issues with code and integration into data system architecture.
- Collaborates and communicates with project team regarding project progress and issue resolution.
- Works with the data engineering team for all phases of larger and more-complex development projects and engages with external users on business and technical requirements.
- Collaborates with peers, engineers, data scientists and project team.
- Typically interacts with high-level Individual Contributors, Managers and Program Teams on a daily/weekly basis.
Certifications Needed:
- Bachelor's or Master's degree in Computer Science, Information Systems, Engineering or equivalent.
- 6+ years of relevant experience with detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools.
- 3+ years of experience with Cloud based DW such as Redshift, Snowflake etc.
- 3+ years experience in Big Data Distributed ecosystems (Hadoop, SPARK, Unity Catalog & Delta Lake)
- 3+ years experience in Workflow orchestration tools such as Airflow etc.
- 3+ years experience in Big Data Distributed systems such as Databricks, AWS EMR, AWS Glue etc.
- Leverage monitoring tools/frameworks, like Splunk, Grafana, CloudWatch etc.
- Experience with container management frameworks such as Docker, Kubernetes, ECR etc.
- 3+ year s working with multiple Big Data file formats (Parquet, Delta Lake)
- Experience working on CI/CD processes such as Jenkins, Codeway etc. and source control tools such as GitHub, etc.
- Strong experience in coding languages like Python, Scala & Java