Senior Data Engineer - GCP

Kloud9 Technologies is hiring Senior Data Engineer - GCP job (Remote only) | Cutshort

Senior Data Engineer - GCP
Senior Data Engineer - GCP

8
\- 14 yrs
₹35L - ₹45L / yr
Remote only
Skills
Google Cloud Platform (GCP)
Agile/Scrum
SQL
Python
Apache Kafka
databricks
Senior Data Engineer
Responsibilities:
●      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
Qualifications:
●      8+ years of experience developing scalable Big Data 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 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
●      Bachelor's degree in Computer Science, Information Systems, Business, or other relevant subject area
Role:
Senior Data Engineer
Total No. of Years:
8+ years of relevant experience
To be onboarded by:
Immediate
Notice Period:
Skills
Mandatory / Desirable
Min years (Project Exp)
Max years (Project Exp)
GCP Exposure
Mandatory Min 3 to 7
BigQuery, Dataflow, Dataproc, AI Building Blocks, Looker, Cloud Data Fusion, Dataprep .Spark and PySpark
Mandatory Min 5 to 9
Relational SQL
Mandatory Min 4 to 8
Shell scripting language
Mandatory Min 4 to 8
Python /scala language
Mandatory Min 4 to 8
Airflow/Kubeflow workflow scheduling tool
Mandatory Min 3 to 7
Kubernetes
Desirable 1 to 6
Scala
Mandatory Min 2 to 6
Databricks
Desirable Min 1 to 6
Google Cloud Functions
Mandatory Min 2 to 6
GitHub source control tool
Mandatory Min 4 to 8
Machine Learning
Desirable 1 to 6
Deep Learning
Desirable Min 1to 6
Data structures and algorithms
Mandatory Min 4 to 8
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Companies hiring on Cutshort

Founded
:
2014
Type
:
Products & Services
Size
:
100-1000
Stage
:
Profitable
About
Kloud9 was founded with the vision of enabling our customers to transform into an intelligent enterprise with our “AI-First” approach. We help our customers in their data transformation and insights transformation journeys and enable them to make smart business decisions.
At Kloud9, we know AI & ML is one of the key technologies that can help organizations to significantly improve their customer experiences and transform their business operations to enable them to survive & thrive in this global competitive market.
Read more
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