Big Data & GCP- Senior Software Engineer
Overview
About the job
Accelerate your career with PradeepIT
PradeepIT is one of the largest, globally recognized IT Consulting firms to connect India’s deeply vetted talent to global customers.
We’re headquartered in Bengaluru, Silicon Valley of India. PradeepIT’s customers include SAP Lab, Bosch, Rolls-Royce, Daikin, Daimler and J&J and hundreds of other Fortune 500 companies and fast-growing startups.
With continuous hard work and remote work by choice, PradeepIT is certified as a Great Place to Work! Trusted by leading brands and Fortune 500 companies from around the world, we have achieved:
- 6+ Years of Experience
- 580+ Open source technology Consultants
- 120+ SAP Consultants
- 100+ Mobility Consultants
- 890+ Clients in APAC, EMEA & USA
Our Beliefs
PradeepIT believes in connecting people across the globe and providing them opportunities to work remotely. Being a people-first organization, PradeepIT constantly strives for individuals who won't just keep up, but break new ground, work with cutting edge technology and ramp up their skills with courses created by our Vertical Heads and Senior Architects with help from PradeepIT Academy.
Responsibilities
- Design, develop and maintain the data architecture, data models and standards for various Data Integration & Data Warehousing projects in GCP cloud, combined with other technologies
- Ensure the use of BigQuery SQL, Java/Python/Scala and Spark reduces lead time to delivery and aligns to overall group strategic direction so that cross-functional development is usable
- Ownership of technical solutions from design and architecture perspective, ensure the right direction and propose resolution to potential data pipeline-related problems
- Expand and optimize our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams
- Provide technical guidance and support to a vibrant engineering team. Coaching and teaching your teammates how to do great data engineering
- A deep understanding of data architecture principles and data warehouse methodologies specifically Kimball or Data Vault.
Requirements
- An expert in GCP, with at least 5-7 years of delivery experience with: Dataproc, Dataflow, BigQuery, Compute, Pub/Sub, and Cloud Storage
- Highly knowledgeable in industry best practices for ETL Design, Principles, and Concepts
- Equipped with 3 years of experience with programming languages Python
- A DevOps and Agile engineering practitioner with experience in a test-driven development
- Experienced in Google Cloud Platform technologies: Dataproc, Dataflow, Spark SQL, BigQuery SQL, PySpark and Python/Scala
- Experienced in Big Data technologies: Spark, Hadoop, Kafka etc.