Aws Data Engineer

18 hours ago

Hyderabad, Telangana, India Swarnasky Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Data Engineer AWS | Redshift | Snowflake | AI & Automation

Location: Madhapur, Hyderabad

Department: Data Engineering / Analytics

Employment Type: Full-time

About the Role:

We are seeking an experienced Data Engineer to join our expanding Data & Analytics team. In this role, you will design and build scalable data pipelines, automate data migration from MySQL RDS (OLTP) to Amazon Redshift or Snowflake (OLAP), and enable AI-driven predictive and generative analytics to power business insights.

You'll work across cloud and AI technologies in the AWS ecosystem, creating intelligent, automated data workflows that reduce manual effort and accelerate data availability for reporting, analytics, and machine learning.

Tech Stack & Tools:


•       Cloud & Data Platforms:

•       AWS (RDS, S3, Redshift, Glue, Lambda, Step Functions, Data Brew)

•       Snowflake (Data Warehouse, Connectors, Query Optimization)

•       ETL / Orchestration:

•       AWS Glue, Apache Airflow, dbt, Matillion, Fivetran

Programming & Query Languages::


•       SQL, Python, PySpark, Scala

•       Machine Learning & AI Integration:

•       Amazon SageMaker, AWS Bedrock (Generative AI), AWS Lookout for Metrics

•       Lang Chain, Hugging Face for LLM-based automation

•       Data Visualization & BI:

•       Amazon Quick Sight, Tableau, Power BI

•       Version Control & CI/CD:

•       Git, AWS Code Pipeline, Jenkins

Qualifications:


•       Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field.

• years of hands-on experience in data engineering, cloud data migration, or data warehousing.

•       Proven experience migrating and transforming data from OLTP OLAP systems (e.g., MySQL RDS Redshift / Snowflake).

•       Solid understanding of data modeling, pipeline orchestration, and data lake architectures.

•       Experience implementing AI-powered analytics or LLM-assisted automation in data workflows is a strong plus.

•       Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.

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