Data Engineer at Ascentech Services Limited

Job Summary

• The Data Engineer is responsible for designing, building, and maintaining data pipelines and architectures that enable the collection, processing, and analysis of large datasets.
• The role ensures that data is clean, reliable, and accessible for business intelligence, analytics, and decision-making.

Key Responsibilities
Data Architecture & Pipeline Development:

• Design, develop, and maintain scalable ETL (Extract, Transform, Load) pipelines for structured and unstructured data.
• Build and optimize data architectures to support reporting, analytics, and machine learning use cases.
• Integrate data from various sources (databases, APIs, cloud systems, third-party tools).

Data Quality & Governance:

• Ensure data integrity, security, and compliance with company and industry standards.
• Monitor, troubleshoot, and resolve issues in data pipelines.
• Implement data validation and cleansing processes to maintain accuracy and consistency.

Collaboration & Support:

• Work closely with data scientists, analysts, and business teams to understand data needs.
• Provide support for analytics and reporting by ensuring data availability and reliability.
• Collaborate with DevOps/Cloud engineers to optimize data storage and processing performance.

Innovation & Optimization:

• Continuously improve data infrastructure for efficiency and scalability.
• Stay updated with emerging technologies in big data, cloud, and data engineering tools.
• Recommend and implement best practices for data modeling and database design.

Qualifications

• Education: B.Sc./B.Eng./M.Sc. in Computer Science, Data Science, Engineering, Information Systems, or a related field.
• Experience:
  • Proven experience as a Data Engineer, ETL Developer, or similar role.
  • Hands-on experience with SQL, Python, Spark, or Scala.
  • Strong knowledge of data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
  • Familiarity with cloud platforms (AWS, Azure, or GCP).
  • Experience with workflow/orchestration tools (e.g., Airflow, Luigi).
• Skills:
  • Strong problem-solving and analytical skills.
  • Excellent communication and teamwork abilities.
  • Knowledge of data governance, security, and compliance practices.

Application Closing Date
Not Specified