Engineer Software Design

Tata Consultancy Services Limited
Herndon, VA, United States
8 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$100,000.0 - $120,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Airflow Cloud Computing Databases Extract Transform Load (ETL) Apache Hive Python (Programming Language) Performance Tuning Systems Development Life Cycle Software Tools Software Engineering Data Streaming
+10 more
Data Processing Scripting Google Cloud Data Ingestion Apache Spark Pyspark Integration Frameworks Apache Kafka Data Management Data Pipelines

Job description

  • Google Cloud Platform (GCP)
  • PySpark
  • Python
  • Airflow
  • Hive
  • Kafka

Data Pipeline Development, Enhancement & Maintenance

  • Design, build, and maintain scalable ETL/ELT pipelines.
  • Automate data ingestion from multiple data sources.
  • Ensure reliable, high-performance, and scalable data movement.
  • Develop and optimize PySpark-based data processing frameworks.
  • Build and manage Airflow workflows and orchestration pipelines.
  • Work with Hive and Kafka-based batch and streaming data solutions.
  • Implement data quality, monitoring, governance, and operational controls.
  • Support production incidents, performance tuning, and continuous improvement initiatives

Roles & Responsibilities

  • The Data Engineer will be responsible for designing, building, governing, and optimizing data platforms, pipelines, and integrations to ensure secure, reliable, and scalable data availability for analytics, reporting, AI/ML, and business operations.

Requirements

Engineering Software, Software Design, GCP (Good Clinical Practices), Cloud Computing, Python Programming/Scripting Language, Apiary/Beekeeping, Data Management, Database Extract Transform and Load (ETL), Scalable System Development, Data Processing, Required Skills: Kafka Python ETL Testing Hive

Experience: 8 - 12 Years, * Strong Functional Knowledge in Retail (Search & Personalization) Added advantage.

  • Strong experience with large-scale GCP Data Engineering solutions.
  • Hands-on experience with Airflow DAG development and support
  • Experience building and optimizing Spark/PySpark data pipelines.
  • Exposure to Hive-based data processing and Kafka-driven ingestion frameworks.
  • Experience supporting analytics, personalization, recommendation, or search platforms is highly desirable

Benefits & conditions

  • Discretionary Annual Incentive.
  • Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
  • Family Support: Maternal & Parental Leaves.
  • Insurance Options: Aut& 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.

LI-KR3

Salary Range-$100,000-$120,000 a year

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