AWS Data Engineer

Unity in Vision: Collaboration at its finest is not just about working together but moving towards a unified vision of success.

On Boarding Process

  • 1
    Job description

    Providing a clear and comprehensive overview of the role's responsibilities and expectations.

  • 2
    Curated Talent Shortlisting

    Thoughtfully selecting and presenting a tailored pool of skilled candidates.

  • 3
    In-depth Consultant Engagement

    Engaging candidates in thorough discussions to understand their expertise and alignment with client needs.

  • 4
    Seamless Integration into Client Team

    Ensuring a smooth transition and effective collaboration as the consultant becomes an integral part of the client's team.

Ready to meet AWS Data Engineer?

An AWS Data Engineer specializes in designing, constructing, integrating, and maintaining the architecture (such as databases and large-scale processing systems), pipelines, and data sets that data analysts and data scientists use for their analyses and data mining. They often use Amazon Web Services' (AWS) extensive suite of tools and services for their operations.

Anicalls data engineers are specializes in designing and implementing large-scale data processing systems using services like AWS Glue, AWS Redshift, and AWS Kinesis.

Roles & Responsibilities

Data Architecture and Database Design

Design, construct, install, and maintain large-scale processing systems and other infrastructure. Use AWS services like Amazon RDS, Redshift, and DynamoDB.

ETL Process

Implement and maintain the ETL (Extract, Transform, Load) process, leveraging AWS Glue or Data Pipeline for automating data flow between various AWS services and on-premises data sources.

Big Data Processing

Use AWS big data tools, such as Amazon EMR, for processing vast amounts of data.

Performance Tuning

Ensure systems meet business requirements and industry practices for data quality, reliability, and performance speed.

Data Workflow Management

Use AWS Step Functions or Amazon SWF for visual coordination of distributed data workflows.

Real-time Data Processing

Implement real-time data processing and analytics using tools like AWS Lambda and Amazon Kinesis.

Storage Solutions

Design and implement scalable storage solutions using AWS storage services such as Amazon S3, EFS, and FSx.


Ensure the security of data solutions, implementing access controls, encryption at rest and in transit, and compliance monitoring using AWS tools like IAM, KMS, and Macie.

Cost Management

Monitor and manage costs associated with all the utilized AWS data services, ensuring the most cost-effective solutions are implemented.

Benefits With Anicalls

Our Commitments

Guaranteed Talent Satisfaction

Flexible Engagement Terms

Performance Review Report Policy


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