Associate Data Engineer

Key Responsibilities

• Design, build, and maintain data pipelines

  (batch & streaming) in a cloud-native environment for ingestion, transformation, and processing of large-scale datasets
• Develop robust

  ETL/ELT processes

  using modern frameworks to support analytics and business intelligence use cases
• Partner with product teams to:
• Assemble complex data sets that meet both functional and non-functional requirements
• Create

  Data Dictionaries, Data Catalogs

  , and documentation for metrics, KPIs, and data assets
• Design and maintain

  data warehouses, data marts, and aggregations

  that enable insights into product performance, customer behavior, retention, and marketing effectiveness
• Implement and maintain

  real-time dashboards

  and

  alerting systems

  for data monitoring and operational visibility

Who You Are Required Qualifications

• 1+ years

  of hands-on experience in

  Big Data

  and

  Data Engineering

• Proficient in

  SQL

  and

  data warehouse design

  concepts, including DataMart modeling
• Programming experience with

  Python

  ,

  PySpark

  , or similar data languages
• Experience developing and maintaining

  data pipelines

  in

  cloud

  or

  hybrid environments

• Familiarity with at least one major cloud provider:

  GCP

  ,

  AWS

  , or

  Azure

• Experience working with

  relational

  and

  NoSQL databases

  (e.g.,

  Postgres

  ,

  MongoDB

  )
• Hands-on experience with

  workflow orchestration tools

  such as:

• Apache Airflow

• Google Cloud Composer

• AWS Data Pipeline

• Experience using

  Git

  ,

  Azure DevOps

  , or similar for version control and CI/CD
• Familiarity with

  Docker

  and

  Kubernetes

  :
• Building and deploying containers
• Creating pods, config maps, and deployments using

  Terraform

• Strong analytical, problem-solving, and communication skills
• Ability to translate business requirements into

  technical documentation

  and data solutions
• Bachelor's or advanced degree in

  Computer Science

  ,

  Information Systems

  , or a related engineering discipline

Nice to Have

• Exposure to

  Business Intelligence tools

  : Tableau, Power BI, Dundas, etc.
• Experience working in

  Agile development

  environments
• Previous work experience in

  cross-functional, distributed teams