Data Engineer - Lifecycle Innovation & Optimization (LIO)

Cisco

3 - 5 years

25 - 27 Lacs

hyderabad

Posted:1 week ago| Platform:

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Skills Required

elastic search spark gcp api snowflake continuous integration ci/cd dbms sql jcl java git shell scripting rest github python software development data analysis maven machine learning data engineering spring boot marketing cassandra agile aws db

Work Mode

Work from Office

Job Type

Full Time

Job Description

Your Impact

In this role, you will build scalable data solutions, integrating diverse datasets for actionable insights. Your role involves transforming raw data, designing efficient models, and optimizing performance. Ensuring data quality and integrity, you'll collaborate with teams to meet analytical needs.

Key Responsibilities

Work closely with product owners and other team members to align solution designs with the project objective and architectural principles.
Review internal and external business and product requirements for data operations and activity and suggest changes and upgrades to systems and storage to accommodate ongoing needs
Create documents, diagrams, and presentations to communicate solution designs and strategies to both technical and non-technical team members.
Create and establish design standards and assurance processes for software, systems and applications development.
End-to-end implementation and delivery of data solutions, ensuring they meet the high standards of quality and performance.
Serve as delivery lead for a team of onsite/offshore data engineers and data analysts.
Data Strategy: Understands, articulates, and applies principles of the defined strategy to routine business problems that involve a single function.
Leverage data to enhance customer and partner experiences, generate omnichannel demand, enrich contact data, and enable AI-driven insights and automation.
Leveraging AI copilots to automate data validation and enrichment tasks.

Minimum Qualifications

3-5+ years of professional experience in software development.
Proficiency in Snowflake, Google Cloud Platform (GCP), Astra DB (Cassandra), Elasticsearch, Apache Spark (Java), API development (Spring Boot, REST APIs), and related tools.
Snowflake SQL for data modeling, writing efficient queries, and building tasks/streams.
Apache Spark (Java) for large-scale data processing and transformation.
Elasticsearch for indexing, search, and analytics.
Astra DB for distributed database design and optimization.
API development for data processing and integration.
GCP Dataproc job orchestration and monitoring
Familiarity with shell scripting, Git, Maven, CI/CD, and Control-M for automation and deployments.
Experience using AI copilots (e.g., GitHub Copilot, Snowflake Copilot, etc.)
Demonstrated ability to collaborate with global engineering and testing teams across multiple time zones.

Preferred Qualifications

Experience with marketing technologies (e.g., Contact Management, Data Platforms, Personalization, Customer Profile generation).
Experience designing and implementing data models, managing imports/exports, and ensuring data integrity.
Proven ability to build scalable data pipelines, manage large datasets, and uphold data quality for AI and analytics applications.
Ability to translate business requirements into technical solutions and work cross-functionally.
Familiarity with supporting AI and machine learning data requirements (AI-first mindset).
Excellent written and verbal communication skills, including the ability to present findings to executive audiences and translate data into actionable insights.
Experience working in Agile development environments.
Fluent in English.

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