Job Description :

Role Overview :

We are seeking an AWS Data Engineer with 4 to 7 years of experience to design and build cloud-native data pipelines, contribute to innovation in data engineering practices, and collaborate across teams to deliver secure, scalable, and high-quality data solutions.

This role is critical to enabling real-time insights and supporting our mission to streamline enterprise operations.

Key Responsibilities :

- Develop, test, deploy, orchestrate, monitor, and troubleshoot cloud-based data pipelines and automation workflows in alignment with best practices and security standards.

- Collaborate with data scientists, architects, ETL developers, and business stakeholders to capture, format, and integrate data from internal systems, external sources, and data warehouses.

- Research and experiment with batch and streaming data technologies to evaluate their business impact and suitability for current use cases.

- Contribute to the definition and continuous improvement of data engineering processes and procedures.

- Ensure data integrity, accuracy, and security across corporate data assets.

- Maintain high data quality standards for Data Services, Analytics, and Master Data Management.

- Build automated, scalable, and test-driven data pipelines.

- Apply software development practices including Git-based version control, CI/CD, and release management to enhance AWS CI/CD pipelines.

- Partner with DevOps engineers and architects to improve DataOps tools and frameworks.

Basic Qualifications :

- Bachelors Degree in Computer Science, Engineering, or related field.

- 47 years of experience in application development and data engineering.

- 3+ years of experience with big data technologies.

- 3+ years of experience with cloud platforms (AWS preferred; Azure or GCP also acceptable).

- Proficiency in Python, SQL, Scala, or Java (3+ years).

- Experience with distributed computing tools such as Hadoop, Hive, EMR, Kafka, or Spark (3+ years).

- Hands-on experience with real-time data and streaming applications (3+ years).

- NoSQL database experience (MongoDB, Cassandra) 3+ years.

- Data warehousing expertise (Redshift or equivalent) 3+ years.

- UNIX/Linux proficiency including shell scripting 3+ years.

- Familiarity with Agile engineering practices.

- SQL performance tuning and optimization 3+ years.

- PySpark experience 2+ years.

- Exposure to process orchestration tools (Airflow, AWS Step Functions, Luigi, or KubeFlow).

Preferred Qualifications :

- Experience with Machine Learning workflows.

- Exposure to Data-as-a-Service platforms.

- Experience designing and deploying APIs.

Additional Information :

- Excellent communication skills.