Aws Data Engineer

Momento Cybertech Solutions

Hyderabad, Chennai District, Bengaluru

Hybrid

INR 1,200,000 - 2,000,000

Full time

7 days ago
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Job summary

Momento Cybertech Solutions in Hyderabad, India seeks an experienced AWS Data Engineer to design and optimize scalable data pipelines on AWS. You will use Databricks, PySpark/Python, and SQL to build ETL/ELT workflows, manage data on S3 and Redshift, and collaborate with business teams to deliver reliable data solutions.

The role emphasizes hands-on development, performance tuning of Databricks jobs, and data validation to ensure accurate insights for stakeholders.

Qualifications

  • Experience with AWS data engineering and building scalable data pipelines.
  • Strong Databricks experience for ETL/ELT workflows.
  • Proficiency in PySpark/Python for data processing and transformation.
  • Solid SQL skills for data queries and modeling.
  • Ability to optimize and monitor Databricks jobs and pipelines.

Responsibilities

  • Design, develop, and maintain scalable data pipelines on AWS.
  • Develop and manage ETL/ELT workflows using Databricks and Apache Spark.
  • Work with PySpark/Python and SQL for data processing and transformation.
  • Build and maintain data solutions using AWS S3, AWS Glue, Redshift and related services.
  • Perform data integration, cleansing, transformation, and validation.
  • Collaborate with business and technical teams to deliver data engineering solutions.

Skills

AWS Data Engineering
Databricks
ETL/ELT
PySpark/Python
SQL

Job description

We are looking for an experienced AWS Data Engineer with strong hands‑on expertise in Databricks and ETL development.

Key Responsibilities:
  • Design, develop, and maintain scalable data pipelines on AWS.
  • Develop and manage ETL/ELT workflows using Databricks and Apache Spark.
  • Work with PySpark/Python and SQL for data processing and transformation.
  • Build and maintain data solutions using AWS S3, AWS Glue, Redshift and related AWS services.
  • Perform data integration, cleansing, transformation, and validation.
  • Optimize Databricks jobs and data pipelines for performance and reliability.
  • Collaborate with business and technical teams to deliver data engineering solutions.
Mandatory Skills:
  • AWS Data Engineering
  • Databricks
  • ETL/ELT
  • PySpark/Python
  • SQLRole & responsibilities
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