Aritha - AWS Data Engineer - ETL/SQL/Data Warehousing (4-6 yrs)

Job Description :

We are seeking a skilled AWS Data Engineer to join our dynamic team. The ideal candidate will have extensive experience with cloud-based data engineering solutions, particularly using Amazon Web Services (AWS). You will work on designing, building, and maintaining data pipelines, ETL processes, and scalable data architectures to support data-driven decision-making.

Key Responsibilities :

- Design, implement, and maintain scalable, high-performance data pipelines using AWS services such as AWS Glue, Amazon S3, Redshift, and others.

- Develop, test, and deploy ETL workflows to transform and load data into data lakes and data warehouses.

- Work closely with data scientists, analysts, and other teams to ensure data quality, consistency, and availability.

- Collaborate on the design and architecture of big data solutions leveraging AWS services such as Lambda, Kinesis, and Athena.

- Monitor and optimize data pipelines to ensure reliable, high-performance, and cost-efficient processing.

- Implement data security and governance best practices across data infrastructure.

- Troubleshoot data-related issues and resolve performance bottlenecks.

- Automate routine data management tasks and build scalable infrastructure for handling growing datasets.

Key Skills & Qualifications :

- Hands on experience in data platform engineering with expertise in maintaining scalable data platforms

- Expertise in AWS cloud environment with distributed processing frameworkds (e.g.

- Apache Spark, Presto) and real time streaming (e.g. Kafka, Flink)

- Strong hands on SQL and Data Modeling experience.

- Experience working with Data Build Tool for data transformations and modelling.

- Experience with table formats like Hudi, Iceberg or Delta Lake.

- Proficiency in Python/Java for developing scalable, maintainable solutions.

- Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience).

- Proven experience as a Data Engineer, Cloud Data Engineer, or in a similar data-focused role.

- Strong knowledge of AWS services (S3, Redshift, Glue, Lambda, Kinesis, etc.).

- Expertise in ETL processes, data transformation, and pipeline orchestration.

- Strong proficiency in programming languages such as Python, Java, or Scala.

- Experience with SQL and NoSQL databases.

- Experience with big data processing frameworks (e.g., Apache Spark, Hadoop) is a plus.

- Understanding of data modeling, data warehousing concepts, and cloud-native architecture.

- Strong problem-solving skills and attention to detail.

- Ability to work in a collaborative team environment.

Preferred Skills :

- Experience with containerization tools like Docker and orchestration tools such as Kubernetes.

- Familiarity with machine learning pipelines and data processing for AI/ML models.

- AWS certifications (e.g., AWS Certified Big Data - Specialty, AWS Certified Solutions Architect).

Why Join Us?

- Competitive salary and benefits package.

- Opportunity to work on cutting-edge cloud technologies.

- Collaborative, fast-paced, and dynamic work environment.

- Opportunities for growth and development.