Engineer

TATA Consulting Services•Charlotte, NC

28d•$100,000 - $120,000

About The Position

Architectural Leadership: Define end-to-end architecture for data platforms, streaming systems, and web applications. Ensure alignment with enterprise standards, security, and compliance requirements. Evaluate emerging technologies and recommend adoption strategies. Data Engineering : Design and implement data ingestion, transformation, and processing pipelines using Hadoop, PySpark, and related tools. Optimize ETL workflows for large-scale datasets and real-time streaming. Integrate Apache Kafka for event-driven architectures and messaging. Application Development : Build and maintain backend services using Python and microservices architecture. Develop responsive, dynamic front-end applications using Angular. Implement RESTful APIs and ensure seamless integration between components. Collaboration & Leadership: Work closely with product owners, business analysts, and DevOps teams. Mentor junior developers and data engineers. Participate in agile ceremonies, code reviews, and design discussions.

Requirements

Strong experience with Hadoop ecosystem (HDFS, Hive, Spark).
Proficiency in PySpark for distributed data processing.
Advanced programming skills in Python.
Hands-on experience with Apache Kafka for real-time streaming.
Frontend development using Angular (TypeScript, HTML, CSS).
Expertise in designing scalable, secure, and high-performance systems.
Familiarity with microservices, API design, and cloud-native architectures.
Knowledge of CI/CD pipelines, containerization (Docker/Kubernetes).
Exposure to cloud platforms (AWS, Azure, GCP).
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
9+ years in software development, with at least 4 + years in architecture and Big Data technologies.

Nice To Haves

BFSI domain experience or large-scale enterprise systems.
Understanding of data governance, security, and compliance standards.
Strong analytical and problem-solving abilities.
Excellent communication and leadership skills.
Ability to thrive in a fast-paced, agile environment.

Responsibilities

Define end-to-end architecture for data platforms, streaming systems, and web applications.
Ensure alignment with enterprise standards, security, and compliance requirements.
Evaluate emerging technologies and recommend adoption strategies.
Design and implement data ingestion, transformation, and processing pipelines using Hadoop, PySpark, and related tools.
Optimize ETL workflows for large-scale datasets and real-time streaming.
Integrate Apache Kafka for event-driven architectures and messaging.
Build and maintain backend services using Python and microservices architecture.
Develop responsive, dynamic front-end applications using Angular.
Implement RESTful APIs and ensure seamless integration between components.
Work closely with product owners, business analysts, and DevOps teams.
Mentor junior developers and data engineers.
Participate in agile ceremonies, code reviews, and design discussions.

Benefits

Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

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