Director Data Engineer

Summary

• We are seeking a highly skilled and motivated SrData
• 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

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.