Data Engineer📣 Job Ad

Join Emdad By Elm as a Senior Data Engineer and be part of a team that is dedicated to enhancing data solutions that drive decision-making across our organization. We are looking for a passionate individual who can design and implement scalable data solutions and contribute to advanced analytics initiatives.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Build and support robust data infrastructure that can scale with business needs.
• Collaborate with data science and analytics teams to deliver reliable, high-quality data.
• Identify and implement improvements in data systems, processes, and performance.
• Ensure data governance, security, and compliance standards are maintained.
• Mentor junior team members and support knowledge sharing within the team.
• Maintain documentation and support reporting for business decision-making.

Requirements:

• 4 to 6 years of experience in data engineering or a related field.
• Bachelor’s degree in Computer Science, Information Systems, or a related discipline.
• Strong experience in building data pipelines and ETL processes.
• Proficiency in SQL and at least one programming language such as Python or Java.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Strong understanding of data modeling, data governance, and best practices.
• Strong analytical, communication, and collaboration skills.

If you are passionate about building scalable data solutions and enabling impactful insights, we welcome your application.

Join Our Team as a Senior Data Engineer!
We at Datamatics Technologies are looking for a highly skilled Senior Data Engineer with strong expertise in the classic data stack, particularly SQL Server and SSIS. This role is fundamental in designing, building, and maintaining scalable data pipelines, robust data models, and data marts.

Job Summary
The Senior Data Engineer will play a key role in developing a structured semantic layer that ensures high-quality, consistent, and accessible data to support analytics and business intelligence initiatives.

Key Responsibilities

• Data Modeling: Design and maintain scalable and high-performance data models, develop data marts aligned with business requirements, and apply best practices in data warehousing.
• Semantic Layer Development: Build and maintain a semantic layer with clear definitions, hierarchies, and data structures.
• Data Pipeline Development (ETL): Develop and manage ETL pipelines using SSIS and SQL Server, ensuring reliability and availability of data across systems.
• Data Quality & Governance: Ensure accuracy, completeness, and consistency of data from source systems.
• Stakeholder Collaboration: Work closely with business teams, analysts, and data scientists translating business requirements into scalable data solutions.
• Documentation & Standards: Maintain comprehensive documentation for data models, ETL processes, and workflows.
• Mentorship: Provide technical guidance and mentorship to junior team members.

Technical Skills & Requirements

• Strong experience with Microsoft SQL Server and expertise in SSIS.
• Proficiency in stored procedures, functions, views, and triggers.
• ETL design and development expertise.
• Performance tuning (query optimization and staging) experience.
• Debugging and optimizing ETL workflows.

Qualifications

• Bachelor’s degree in Computer Science, IT, or a related field.
• Minimum 6+ years of experience in data engineering and data warehousing.

Join us in providing excellent services in data analytics and data science across various industry sectors.

Join Our Team as a Data Engineer!
At HUED, we are excited to announce an opportunity for a talented Data Engineer to join our dynamic platform development project. We pride ourselves on creating exceptional human-centered experiences and are looking for someone who shares our passion for creativity and innovation.

About the Role:
The Data Engineer will be responsible for designing and managing data infrastructure that supports platform performance and analytics. You will play a crucial role in building scalable, data-driven solutions.

Key Responsibilities:

• Design and build scalable data pipelines (ETL/ELT) for the platform
• Integrate data from multiple sources (APIs, third-party systems, databases)
• Develop and maintain data warehouses and data lakes
• Ensure data accuracy, consistency, and availability across the platform
• Optimize data processing performance and system scalability
• Collaborate with developers, product teams, and analysts
• Support real-time and batch data processing requirements
• Document data architecture and workflows

Requirements:

• 5+ years of experience in Data Engineering
• Strong experience in SQL and Python
• Hands-on experience with ETL tools (*, Airflow, Talend)
• Experience working on platform-based or product environments
• Strong knowledge of data modeling and database design
• Experience with cloud platforms (AWS, Azure, or GCP)
• Experience with data warehousing tools (BigQuery, Snowflake, Redshift)

If you are ready to take on challenges and contribute to projects that blend design, art, and technology, we encourage you to apply and join our creative team.