- Design, develop, and optimize data ingestion, transformation, and storage pipelines on AWS

- Manage and process large-scale structured, semi-structured, and unstructured datasets efficiently

- Build and maintain ETL/ELT workflows using AWS native tools such as Glue, Lambda, EMR, and Step Functions

- Design and implement scalable data architectures leveraging Python, PySpark, and Apache Spark

- Develop and maintain data models and ensure alignment with business and analytical requirements

- Work closely with stakeholders, data scientists, and business analysts to ensure data availability, reliability, and quality

- Handle on-premises and cloud data warehouse databases and optimize performance

- Stay updated with emerging trends and technologies in data engineering, analytics, and cloud computing

Requirements:

- Mandatory: Proven hands-on experience with AWS Data Engineering stack, including but not limited to: AWS Glue, S3, Redshift, EMR, Lambda, Step Functions, Kinesis, Athena, and IAM

- Proficiency in Python, PySpark, and Apache Spark for data transformation and processing





- Strong understanding of data modelling principles and ability to design and maintain conceptual, logical, and physical data models

- Experience working with one or more contemporary data platforms: Snowflake, Dataiku, or Alteryx (Good to have not mandatory) Familiarity with on-prem/cloud data warehouse systems and migration strategies

- Solid understanding of ETL design patterns, data governance, and best practices in data quality and security

- Knowledge of DevOps for Data Engineering CI/CD pipelines, Infrastructure as Code (IaC) using Terraform/CloudFormation (Good to have not mandatory) Excellent problem-solving, analytical, and communication skills

Desirable candidate:

- Qualification - Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field

- Experience with cloud data engineering tools/components/technologies such as AWS Glue, EMR, S3 & EC2

- Continual learning mindset to understand emerging trends in the data science field.

Location - Remote,Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

📌 AWS Data Engineers (Bengaluru)
🏢 D-TechWorks
📍 Bengaluru