Data Engineer

Job Post Information* : Posted Date 1 day ago(10/8/2025 6:02 PM)
ID
2025-1987
# of Openings
1
Category
Engineering

Overview

The objectives of a Data Engineer typically revolve around designing, implementing, and managing robust data architectures and infrastructures. The Data Engineer will play a key role in driving the organization's data strategy, ensuring the efficient flow and storage of data, and supporting data-driven decision-making processes.

Duties & Responsibilities

 

  1. Data Model Design:
    • Develop and maintain a scalable and efficient data models and schemas that support the storage, processing, and retrieval of data.
  1. Data Integration:
    • Implement robust ELT (Extract, Load, Transform) processes to integrate data from various sources into a unified and consistent format.
    • Ensure seamless data flow between different systems, databases, and applications.
  1. Data Quality:
    • Implement data validation and cleansing processes to ensure the accuracy and reliability of data.
  1. Emerging Technologies:
    • Stay abreast of emerging technologies and trends in the field of data engineering.
  1. Database Management:
    • Manage and optimize database systems, including relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
  1. Performance Optimization:
    • Identify and address performance bottlenecks in data processing and storage systems.
    • Optimize queries, indexing strategies, and data partitioning for improved performance.
  1. Scalability and Reliability:
    • Ensure that data systems are scalable to handle growing volumes of data.
    • Implement redundancy and fault-tolerance measures to enhance data system reliability.

Skills Required

  • Strong hands-on expertise with AWS services such as S3, Glue, Lambda, Athena, Redshift, Step Functions, Streaming tools like Apache Kafka \ Amazon Kinesis.
  • Proficiency in Python, PySpark, experience with ELT and orchestration tools
  • Strong hands-on expertise on Apache Hudi \ Apache Iceberg
  • Strong hands-on expertise In SQL
  • Experience using GitHub for version control and collaboration
  • Develop, optimize, and maintain ELT processes for data integration.
  • Strong communication skills to interface with technical and business stakeholders.

 

 

Secondary Skills Required:

           

  • Knowledge of cloud infrastructure automation (e.g., Terraform, CloudFormation).
  • Experience with DevOps CICD pipelines and source code management.
  • AWS Certification, experience in platform automation and monitoring frameworks.

 

Qualifications Required:

 

  • Bachelor’s degree (B.A.) from four-year college or university, or equivalent combination of education and experience.
  • 7+ years of experience in data engineering or a related role
  • Proficient in data modeling, ELT development, and database management.
  • Experience with big data technologies and distributed computing frameworks

 

 

 

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