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dataroles

AWS Data Engineer

Fa Ewjt Saasfaprod1 Open
Hybrid Bengaluru Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Fa Ewjt Saasfaprod1. Bengaluru · full-time.

Pay not stated Data Engineering salary

RoleData Engineering
SeniorityMid-level
LocationBengaluru
WorkplaceHybrid
EmploymentFull-time
PostedOct 19, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and tune ETL/ELT workflows that ingest and transform data, using AWS services to keep pipelines dependable
  • Work with BI, AI/ML and infrastructure teams to deliver data platform solutions that scale reliably
  • Use SQL and Python for data processing, automation and analytics, and document designs, data flows and operating procedures
  • Write unit tests, review code and troubleshoot pipeline issues to protect code quality and improve performance
  • Balance work across concurrent projects while following coding standards and data governance rules

What you bring

  • Three to five years of practical data engineering experience, including designing and building ETL/ELT pipelines
  • You can work confidently in SQL and Python and have hands-on experience with AWS services such as Redshift, Lambda or S3
  • A bachelor's degree in computer science, information technology, engineering or a related field
  • You understand data warehousing and dimensional modeling, use Git, and have experience writing unit tests

Who this fits

This role suits a mid-level data engineer who can work across teams, document technical work and manage several projects at once. It is based in Bengaluru, India, with a hybrid arrangement.

From the employer

Key Responsibilities

  • Design, develop, and optimize scalable ETL/ELT pipelines for data ingestion and transformation.
  • Build and maintain robust data pipelines using AWS cloud services.
  • Partner with Business Intelligence (BI), AI/ML, and Infrastructure teams to deliver reliable and scalable data platform solutions.
  • Develop efficient SQL queries and Python scripts for data processing, automation, and analytics.
  • Create and maintain technical documentation, including solution designs, data flow diagrams, and operational guides.
  • Develop comprehensive unit tests and perform code reviews to ensure high-quality, reliable, and maintainable code.
  • Monitor, troubleshoot, and optimize data pipelines to ensure performance, scalability, and reliability.
  • Work on multiple projects simultaneously while managing priorities in a fast-paced environment.
  • Follow coding standards, best practices, and data governance guidelines.

Required Skills & Qualifications

  • 3–5 years of hands-on experience in Data Engineering.
  • Strong experience in designing and developing ETL/ELT pipelines.
  • Proficiency in SQL and Python programming.
  • Hands-on experience with AWS services, including:
    • Amazon Redshift
    • AWS Lambda
    • Amazon S3
    • AWS Glue (preferred)
    • AWS IAM
    • Amazon CloudWatch
  • Experience with workflow orchestration tools such as Apache Airflow (preferred).
  • Understanding of data warehousing concepts and dimensional data modeling.
  • Knowledge of version control systems such as Git.
  • Experience writing unit tests and following software development best practices.
  • Strong analytical, problem-solving, and debugging skills.
  • Excellent communication and documentation skills.
  • Ability to manage multiple tasks and work effectively in a collaborative environment.

Preferred Skills

  • Experience with CI/CD pipelines and DevOps practices.
  • Knowledge of Spark, PySpark, or Databricks is an advantage.
  • Exposure to AI/ML data pipelines and feature engineering.
  • Familiarity with Agile/Scrum development methodologies.
  • AWS Certification (Developer Associate or Data Engineer Associate) is a plus.

Key Competencies

  • AWS Data Engineering
  • ETL/ELT Development
  • SQL & Python
  • Amazon Redshift
  • AWS Lambda
  • Amazon S3
  • Data Warehousing
  • Unit Testing
  • Technical Documentation
  • Problem Solving
  • Team Collaboration
  • Multitasking
  • Agile Development

Educational Qualification

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • Relevant AWS certifications will be an added advantage.
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.