Data Engineer

Information Security Responsibilities

• Promote and enforce awareness of key information security practices including acceptable use of information assets malware protection and password security protocols
• Identify assess and report security risks focusing on how these risks impact the confidentiality integrity and availability of information assets
• Understand and evaluate how data is stored processed or transmitted ensuring compliance with data privacy and protection standards (GDPR CCPA etc.)
• Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information

Responsibilities:

1. Pipeline Migration
• Logic & Scheduling: Refactoring and migrating extraction logic and job scheduling from legacy frameworks to the new Lakehouse environment.
• Data Transfer: Executing the physical migration of underlying datasets while ensuring data integrity.
• Stakeholder Engagement: Acting as a technical liaison to internal clients facilitating "handoff and sign-off" conversations with data owners to ensure migrated assets meet business requirements
1. Consumption Pattern Migration
• Code Conversion: Translating and optimizing legacy SQL and Spark-based consumption patterns (raw and modeled) for compatibility with Snowflake and Iceberg.
• Usage analysis: Understand usage patterns to deliver the required data products.
• Stakeholder Engagement: Acting as a technical liaison to internal clients facilitating "handoff and sign-off" conversations with data owners to ensure migrated assets meet business requirements.
1. Data Reconciliation & Quality
   A rigorous approach to data validation is required. Candidates must work with reconciliation frameworks to build confidence that migrated data is functionally equivalent to that already used within production flows.

Technical Skills:

1. Basic Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science Applied Mathematics Engineering or a related quantitative field.
• Experience: Minimum of 5 years of professional "hands-on-keyboard" coding experience in a collaborative team-based environment.  Ability to trouble shoot  (SQL) and basic scripting experience.
• Languages: Professional proficiency in Python or Java.
• Methodology: Deep familiarity with the full Software Development Life Cycle (SDLC) and CI/CD best practices & K8s deployment experience.
1. Core Data Engineering Competencies:  Candidates must demonstrate a sophisticated understanding of the following modeling concepts to ensure data correctness during reconciliation:
• Temporal Data Modeling: Managing state changes over time (e.g. SCD Type 2).
• Schema Management: Expertise in Schema Evolution (Ref: Iceberg Apache) and enforcement strategies.
• Performance Optimization: Advanced knowledge of data partitioning and clustering.
• Architectural Theory: Balancing Normalization vs. Denormalization and the strategic use of Natural vs. Surrogate Keys.
1. Technical Stack Requirements: 

Extraction & Logic: Kafka ANSI SQL FTP Apache Spark
Data Formats: JSON Avro Parquet
Platforms: Hadoop (HDFS/Hive) Snowflake Apache Iceberg Sybase IQ

Candidate will also need to work with our internal data management platform and must have an aptitude for learning new workflows and language constructs is essential.

What We Do

Bounteous is a global AI Services firm where agentic engineering and human experience converge to deliver transformative business outcomes for the enterprise. We help organizations design build and scale AI-driven products platforms and processes. With more than 5000 team members worldwide Bounteous delivers AI that sticks powering adoption and outcomes that move organizations from experimentation to true transformation.

Why Work With Us

Bounteous combines strategy experience design engineering data and AI to help leading brands build intelligent systems that are practical scalable and measurable. People join us to work on meaningful transformation initiatives collaborate with smart and supportive teams and help shape what’s next in AI and digital experience.

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