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Senior Data Engineer- GCP
1-4 years
Bangalore / Bengaluru
1 vacancy
Senior Data Engineer- GCP
Kloud 9
posted 25d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Clean, prepare and optimize data at scale for ingestion and consumption by machine learning models
- Drive the implementation of new data management projects and re-structure of the current data architecture
- Implement complex automated workflows and routines using workflow scheduling tools
- Build continuous integration, test-driven development and production deployment frameworks
- Drive collaborative reviews of design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards
- Anticipate, identify and solve issues concerning data management to improve data quality
- Design and build reusable components, frameworks and libraries at scale to support machine learning products
- Design and implement product features in collaboration with business and Technology stakeholders
- Analyze and profile data for the purpose of designing scalable solutions
- Troubleshoot complex data issues and perform root cause analysis to proactively resolve product and operational issues
- Mentor and develop other data engineers in adopting best practices
- Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders
Experience & Skills Fitment:
- 7+ years of experience developing scalable Pyspark applications or solutions on distributed platforms
- Experience in Google Cloud Platform (GCP) and good to have other cloud platform tools
- Experience working with Data warehousing tools, including DynamoDB, SQL, and Snowflake
- Experience architecting data products in Streaming, Serverless and Microservices Architecture and platform.
- Experience with Pyspark, Spark (Scala/Python/Java) and Kafka
- Work experience with using Databricks (Data Engineering and Delta Lake components)
- Experience working with Big Data platforms, including Dataproc, Data Bricks etc
- Experience working with distributed technology tools including Spark, Presto, Databricks, Airflow
- Working knowledge of Data warehousing, Data modeling
- Experience working in Agile and Scrum development process
- Bachelors degree in Computer Science, Information Systems, Business, or other relevant subject area
Benefits:
- Kloud9 provides a robust compensation package and a forward-looking opportunity for growth in emerging fields.
Employment Type: Full Time, Permanent
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What people at Kloud 9 are saying
Senior Data Engineer salary at Kloud 9
reported by
7
employees
with 7-17
years exp.
₹22
L/yr - ₹31.7
L/yr
44%
more
than the average Senior Data Engineer Salary in India
View more details
What Kloud 9 employees are saying about work life
based on 24 employees
Flexible timing
Monday to Friday
No travel
Day Shift
Kloud 9 Benefits
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