Director Data Engineer

Summary:

We are seeking a highly skilled and motivated Sr Data
Engineer to join our innovative team. As a Data Engineer, you will be
responsible for designing, building, and maintaining scalable data pipelines
and infrastructure to support our enterprise-wide data-driven initiatives. You
will collaborate closely with cross-functional teams to ensure the
availability, reliability, and performance of our data systems and solutions.

This role involves working across modern data engineering
frameworks, cloud platforms, and distributed environments to enable efficient
data integration, transformation, governance, and consumption across the
organization. You will contribute to architectural decisions, lead complex data
engineering tasks, and support best practices for high‑quality, secure, and
scalable data solutions.

Responsibilities:

Data Pipeline Development

• Design,
  implement, and optimize end-to-end data pipelines for ingesting,
  processing, and transforming large volumes of structured and unstructured
  data.
  
• Develop
  robust ETL (Extract, Transform, Load) processes to integrate data from
  diverse sources into our data ecosystem.
  
• Implement
  data validation and quality checks to ensure accuracy and consistency
  across systems.
  

Data Modeling and Architecture

• Design
  and maintain data models, schemas, and database structures for analytical
  and operational use cases.
  
• Optimize
  data storage and retrieval mechanisms to support performance and
  scalability.
  
• Evaluate
  and implement data storage solutions including relational databases, NoSQL
  systems, data lakes, and cloud storage platforms.
  

Data Integration and API Development

• Build
  and maintain integrations with internal and external data sources and
  APIs.
  
• Implement
  RESTful APIs and web services for secure and efficient data access and
  consumption.
  
• Ensure
  compatibility, standardization, and interoperability across systems.
  

Data Infrastructure Management

• Configure
  and manage data infrastructure components including databases, warehouses,
  lakehouses, and distributed computing frameworks.
  
• Monitor
  system performance, identify bottlenecks, troubleshoot issues, and
  implement optimizations.
  
• Implement
  data security controls, governance, and access management policies to
  protect sensitive information.
  

Collaboration and Documentation

• Collaborate
  with data scientists, analysts, and business stakeholders to understand
  data requirements and deliver effective technical solutions.
  
• Document
  technical designs, workflows, data flow diagrams, and best practices to
  enable transparency and knowledge sharing.
  
• Provide
  technical guidance, mentorship, and support to team members and
  cross-functional partners.
  

Requirements

Requirements:

• Bachelor’s
  degree in computer science, Engineering, Information Systems, or a related
  field.
  
• 10+
  years of proven experience in data engineering, software development, or
  related technical roles.
  
• 10+
  years of experience in programming languages commonly used in data
  engineering (Python, Java, SQL, Stored Procedures, Scala, etc.).
  
• 10+
  years of experience with database systems, data modeling, and advanced
  SQL.
  
• 10+
  years of experience with ETL tools such as SSIS, Snowflake, Databricks,
  Azure Data Factory, Stored Procedures, etc.
  
• Experience
  with big data technologies such as Hadoop, Spark, Kafka, etc.
  
• 7+
  years of experience working with cloud platforms like Azure, AWS, or
  Google Cloud.
  
• Strong
  analytical, problem-solving, and debugging skills with high attention to
  detail.
  
• Excellent
  communication and collaboration skills in a team-oriented, fast-paced
  environment.
  
• Ability
  to adapt to rapidly evolving technologies and business requirements.