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V3 Staffing · posted 4 months ago
Job Description
Skills :
Big Data; CI/CD; ETL - Big Data / Data Warehousing; GCP; Python; SQL; Java.
Spark/pyspark mandatory
JD:
Senior hands-onGCP Data Engineer who can work independently across a variety
of GCP Big Data services.Strong experience working with Google Cloud
Platform (GCP) data services, including BigQuery and BigtableProficiency in
Python programming (Java experience is a plus)Strong hands-on experience
with Cloud Composer (Airflow) for workflow orchestrationHands-on experience
with Dataproc for large-scale data processingGood to have experience in
building messaging and event-driven data pipelines using Pub/SubExperience
with CI/CD pipelines (GitHub Actions)Marketing Platforms team within US
Consumer and Digital Technology division is responsible for enabling
creation, execution and tracking of Marketing Campaigns across all Amex
products and channels."Flywheel" initiative aims to modernize our technology
stack to improve Marketer"s operational efficiency and bring campaigns to
market quicker, creating more dynamic, personalized customer experience.An
individual in this role will work on brining marketing data into Unified
Marketing Data Layer on our GCP BigData platform to facilitate reporting and
analytics of marketing campaign performance.
GCP Data Engineer – MLSE – 5- 8 years’ experience
Chennai / Bangalore
Job Description
Total - 3 Positions:
2 Positions:
Big Data; GCP; PySpark; Python; SQL
1 Position :
Big Data; GCP; ETL - Big Data / Data Warehousing; Git (GitHub, GitLab,
BitBucket, SVN); PySpark; Python; SQL
Position Required : Google Cloud - Data Engineer. We are looking for
energetic, high-performing and highly skilled data engineers to help shape
our technology and product roadmap. You will be part of the fast-paced,
entrepreneurial Global Campaign Tracking (GCT) team under Enterprise
Personalization Portfolio focused on delivering the next generation of
global marketing capabilities. The team is responsible for marketing
campaign tracking of new accounts acquisition and bounty payments and
leverages large scale data engineering technologies,
such as such as SQL, PySpark, GCP, Big Query, Data Proc, Adobe Analytics,
Google Analytics, Hive, Kafka & Java. Focus
: Designs, develops, solves problems, debugs, evaluates, modifies, deploys,
and documents software and systems that meet the needs of customer-facing
applications, business applications, and/or internal end user applications.
Responsibilities· Develop and maintain large scale data processing pipeline using PySpark Data Proc, Big Query and SQL.· Use Big Query and Data proc to migrate existing Hadoop/Spark/Hive workloads to Google Cloud.· Proficient in Big Query to carry out batch and interactive data analysis.· Function as member of an agile team by contributing to software builds through consistent development practices (tools, common components, and documentation)· Develops and tests software, including ongoing refactoring of code, and drives continuous improvement in code structure and quality· Enable the deployment, support, and monitoring of software across test, integration, and production environments
Minimum Qualifications:This high energy Engineer must have:A Bachelor’s
degree in computer science, computer engineering, other technical
discipline, or equivalent work experience6 – 9 years of software
development experience. Hands-on expertise with application design,
software development, and automated testing. Strong programming knowledge
in SQL, PySpark, Data Proc, Big QueryHands-on experience in Big Data
technologies (Spark, Hive)Understanding and experience with UNIX / Shell /
Perl / Python scriptingDatabase query optimization and indexingWeb
services design and implementation using REST / SOAP and Java is a
plusExperience collaborating with the business to drive requirements/Agile
story analysis.Experience with design and coding across one or more
platforms and languages as appropriateBonus skills:Machine learning/data
miningObject-oriented design and codingAdobe Marketing Campaign products