Senior Lead Data Engineer
Integrant, Inc.1 month ago
Cairo, EgyptStaff+
Responsibilities
- Engage clients and stakeholders to gather requirements, assess analytical challenges, and create technical proposals and solution designs.
- Select, customize, and technically justify data warehouse, data lake, lakehouse, data fabric, and data mesh architectures.
- Design and build agentic and LLM-powered solutions on modern data platforms.
- Lead hands-on implementation of data pipelines, warehouses, and lakes from design through performance tuning and production support.
- Build data strategies and mentor clients, internal teams, and data engineers on modern architectures and methodologies.
- Implement data quality, testing, observability, governance, security, orchestration, streaming, semantic layers, and analytical solutions across on-premises and cloud environments.
- Estimate, monitor, and optimize cloud data platform costs and reflect cost considerations in client proposals.
Requirements
- 10–12 years of data engineering experience, including hands-on senior-level delivery.
- Bachelor’s degree in Computer Science, Computer Engineering, or another quantitative field; postgraduate degrees are preferred.
- Strong stakeholder communication, requirements gathering, presentation, technical proposal, and solution design skills.
- Expert-level SQL and strong Python, Scala, or Java programming skills for data processing.
- Extensive experience with at least one enterprise data platform and hands-on implementation of on-premises and cloud data warehouses.
- Strong dimensional modeling knowledge, including dimensions, facts, slowly changing dimensions, and multiple fact table patterns.
- Experience with ETL/ELT, data quality, testing, observability, semantic layers, OLAP models, workflow orchestration, data lakes, lakehouses, streaming, query federation, and data virtualization.
- Knowledge of NoSQL databases and business intelligence tools.
- Experience with multiple cloud data platforms and hands-on experience with Snowflake or Databricks.
- Experience implementing data governance and security, including cataloging, lineage, access control, and secrets management.
- Experience with CI/CD and version control for data solutions.
- Hands-on exposure to LLM and agentic solutions in proof-of-concept or production environments.
- Experience with AI-assisted development and familiarity with DataOps.
- Preferred familiarity with agent protocols, dbt, MLOps and ML platforms, cloud AI services, containers, big data ecosystems, and serverless functions.
Benefits
- Hybrid full-time work arrangement in Cairo, Egypt.
- Salary paid in USD.
- Career progression reviews every six months.
- Premium medical insurance for the employee and family.
- Social insurance.
- English language development courses and technical development courses.
- Interest-free loans paid over 2.5 years.
- Employment referral program.
- Premium location in Maadi.
- Supportive and friendly work environment.
Tech Stack
Amazon DynamoDBAmazon RedshiftApache AirflowApache CassandraApache HiveApache KafkaApache SparkAWSAzureDatabricksdbtDockerGitHub ActionsGitLab CI/CDGoogle BigQueryGoogle CloudInformaticaJavaKubernetesMicrosoft SQL ServerMLflowMongoDBPythonScalaSnowflakeSQLTalend
Categories
AI ApplicationsData Engineering
About Integrant, Inc.
Integrant, Inc. is a privately held software engineering services firm that builds custom enterprise systems and regulated‑industry applications for global clients. Founded in 1992 and headquartered in San Diego, it delivers development, QA automation, and legacy modernization, and integrates AI agents/LLMs across its agentic SDLC. The company serves medical devices, life sciences/pharma (GxP/21 CFR Part 11), financial services, manufacturing, and public‑sector customers, with engineering centers in Cairo and Amman.