Data Engineer with Lambada API | VA Local | Hybrid | C2C | H1B OPT OPTEAD | 5+YRS

 

Job Title: Data Engineer with Lambada API

Location: Virginia (VA), Hybrid (mix of remote and onsite)

Employment Type: Full-time, Contract (C2C), possibly open to H1B OPT/OPTEAD candidates

Experience: 5+ years in a similar role

Job Description:

As a Data Engineer specializing in the Lambada API, you will be responsible for designing, developing, and maintaining data pipelines and infrastructure solutions that leverage the Lambada API. Your role will involve working closely with cross-functional teams to understand data requirements, ensuring data quality and integrity, and optimizing data workflows for performance and scalability.

Key Responsibilities:

1. API Integration: Design and implement data pipelines using the Lambada API to extract, transform, and load (ETL) data from various sources into centralized data repositories.

2. Data Modeling: Develop and maintain data models that support business requirements and ensure data consistency across different systems.

3. Performance Optimization: Identify and implement strategies to optimize data pipelines and improve overall system performance.

4. Data Quality Assurance: Implement data quality checks and validation processes to ensure accuracy and reliability of data.

5. Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data needs and deliver solutions that meet business objectives.

6. Documentation: Create and maintain technical documentation related to data pipelines, API integrations, and data architecture.

Required Skills:

• Strong proficiency in working with the Lambada API and integrating it into data solutions.
• Experience with data modeling, ETL processes, and data warehousing concepts.
• Proficiency in programming languages such as Python, Java, or Scala.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and related services (e.g., S3, EC2, BigQuery).
• Strong SQL skills and experience with relational databases (e.g., MySQL, PostgreSQL).
• Understanding of data governance, data security, and compliance considerations.
• Excellent problem-solving and analytical skills with a keen attention to detail.
• Effective communication skills and the ability to collaborate in a team environment.

Preferred Qualifications:

• Previous experience in a similar role working with APIs and data engineering.
• Experience with big data technologies (e.g., Hadoop, Spark) and streaming frameworks (e.g., Kafka, Flink).
• Knowledge of containerization and orchestration tools such as Docker and Kubernetes.
• Certification in relevant technologies or platforms (e.g., AWS Certified Solutions Architect, Google Professional Data Engineer).

This role offers an opportunity to work on challenging data engineering projects, leveraging the Lambada API to build robust and scalable data solutions that drive business insights and decision-making. If you're interested in applying for this position or learning more, I recommend checking job boards, company websites, or contacting recruitment agencies specializing in IT and engineering roles.

Connect me: https://www.linkedin.com/in/dreakansh-151217126/