Sr Analytics Engineer

gevernova

Bangalore NM Years Exp Posted 6d ago

Job Description

The Senior Analytics Engineer will be responsible for:

  • Design and maintain database architectures, schemas, and data models for Steam Datalake
  • Build, optimize, and maintain reliable data pipelines for data ingestion, cleaning, transformation, and feature extraction from structured and unstructured sources.
  • Build and maintain integrations with internal and external data sources and APIs.
  • Establish appropriate data quality checks and follow data governance policies.
  • Build insightful data visualization/dashboards using reporting tools like Tableau / Power BI
  • Participate in Hackathon’s (AI/Prompt Engineering) to solve business problems
  • Work closely with other adjacency functions such as Datascience & Automation to cater relevant data expectations.
  • Collaborate with cross-functional teams like AMS, Cloud & Infra, Source (ERP, Salesforce etc.) to develop innovative solutions.
  • Participate in Kaizens to support SP Business with IT solutions
  • Conduct exploratory data analysis & Identify data quality issues proactively
  • Identify areas of tech debt reduction through & implement solutions to reduce tech debt

 

QUALIFICATIONS/REQUIREMENTS:

  • Bachelor's in data science, computer science, computer engineering with hands-on experience in data engineering, or equivalent knowledge or experience.
  • Significant experience working in the Data & Analytics space to understand the requirement of both structured and unstructured databases.
  • Database management experience with relational (e.g., PostgreSQL) and data warehousing technologies such as, Snowflake, Redshift, Databricks.
  • Familiarity with cloud platforms like AWS and/or Azure
  • Extensive hands-on experience with ETL (Extract, Transform, Load) tools like Talend, Informatica and automating data pipeline workflows.
  • Hands on with data visualization tools such as Tableau, Power BI, or similar platforms for building reports and dashboards.
  • Ability of using data scientific programming tools or languages, such as Python, Scala, Java, SQL etc.
  • Familiarity with AI/ML and exposure to Prompt Engineering
  • Experience with version control systems e.g., Git
  • Able to share ideas and work well in a team environment, proactive approach to tasks displaying initiative.
  • Flexible and adaptable; open to change and modification of tasks, working in multi-tasking environment.

 

DESIRED CHARACTERISTICS:

  • Self-starter with the ability to work independently, manage ambiguity, and drive analytics solutions from concept to delivery.
  • Passion for solving business problem and for emerging technologies such as AI.
  • Strong willingness to learn, problem-solving mindset, and collaborative approach to troubleshooting ​
  • Innovates and integrates new processes and/or technology to significantly add value to GE VERNOVA. 
  • Strong communication skills and a proactive and open approach to conflict resolution.
  • Strong organizational skills, self-motivated, and self-directed.

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