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Experiencecom
Experiencecom cover picture
Founded :
2015
Type :
Product
Size :
100-500
Stage :
Raised funding

About

We believe that experience is everything. Amazing experiences create customers for life, and poor ones destroy brands and businesses. That's why Experience.com has built the most impactful Experience Management Platform (XMP) available anywhere, with features to drive operational and behavioral change, in real-time, during the moments that matter. XMP delivers impactful business outcomes including increased customer satisfaction, brand loyalty, online reputation and visibility, as well as improved employee engagement, and compliance - making every experience matter more. Founded in 2015 and originally founded as SocialSurvey, Experience.com is headquartered in San Ramon, Calif. and backed by SavantGrowth (fka Kennet Partners), Silicon Valley Data Capital, Tri-Valley Ventures, and Wilson Sonsini Goodrich & Rosati. For more information, visit www.experience.com or call +1 (888) 701 4512.
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Jobs at Experiencecom

Experiencecom
at Experiencecom
Avinash S
Posted by Avinash S
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Remote only
7 - 12 yrs
₹20L - ₹35L / yr
Google Cloud Platform (GCP)
Big Data
skill iconPython
SQL
pandas
+3 more

Description


Come Join Us


Experience.com - We make every experience matter more

Position: Senior GCP Data Engineer

Job Location: Chennai (Base Location) / Remote

Employment Type: Full Time


Summary of Position

A Senior Data Engineer is a professional who specializes in preparing big data infrastructure for analytical or operational uses. He/She is responsible for develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity. They collaborate with data scientists and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organisation.


Responsibilities:

  • Collaborate with cross-functional teams to define, prioritize, and execute data engineering initiatives aligned with business objectives.
  • Design and implement scalable, reliable, and secure data solutions by industry best practices and compliance requirements.
  • Drive the adoption of cloud-native technologies and architectural patterns to optimize the performance, cost, and reliability of data pipelines and analytics solutions.
  • Mentor and lead a team of Data Engineers.
  • Demonstrate a drive to learn and master new technologies and techniques.
  • Apply strong problem-solving skills with an emphasis on building data-driven or AI-enhanced products.
  • Coordinate with ML/AI and engineering teams to understand data requirements.


Experience & Skills:

  • 8+ years of Strong experience in ETL and ELT data from various sources in Data Warehouses
  • 8+ years of experience in Python, Pandas, Numpy, and SciPy.
  • 5+ years of Experience in GCP 
  • 5+ years of Experience in BigQuery, PySpark, and Pub/Sub
  • 5+ years of Experience working with and creating data architectures.
  • Certified in Google Cloud Professional Data Engineer.
  • Advanced proficiency in Google Cloud services such as Dataflow, Dataproc, Dataprep, Data Studio, and Cloud Composer.
  • Proficient in writing complex Spark (PySpark) User Defined Functions (UDFs), Spark SQL, and HiveQL.
  • Good understanding of Elastic search.
  • Experience in assessing and ensuring data quality, data testing, and addressing data quality issues.
  • Excellent understanding of Spark architecture and underlying frameworks including storage management.
  • Solid background in database design and development, database administration, and software engineering across full life cycles.
  • Experience with NoSQL data stores like MongoDB, DocumentDB, and DynamoDB.
  • Knowledge of data governance principles and practices, including data lineage, metadata management, and access control mechanisms.
  • Experience in implementing and optimizing data security controls, encryption, and compliance measures in GCP environments.
  • Ability to troubleshoot complex issues, perform root cause analysis, and implement effective solutions in a timely manner.
  • Proficiency in data visualization tools such as Tableau, Looker, or Data Studio to create insightful dashboards and reports for business users.
  • Strong communication and interpersonal skills to effectively collaborate with technical and non-technical stakeholders, articulate complex concepts, and drive consensus.
  • Experience with agile methodologies and project management tools like Jira or Asana for sprint planning, backlog grooming, and task tracking.


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