Sr Analytics Engineer

stomers.
This role will require you to operate with some autonomy within standard practices; lead workstreams as an individual contributor and provides guidance to junior team members.

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.

• 6+ years' 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.

Additional Information

Relocation Assistance Provided: Yes