Senior Data Engineer

3 days ago

Lahore, Punjab, Pakistan beBee Careers Full time

We are seeking a highly skilled Data Engineer to design, build and maintain robust and scalable data pipelines. This role is critical in developing systems that process and analyze data efficiently, enabling data-driven decision-making across the organization.

Key Responsibilities:

  • Design, develop and maintain ETL pipelines to ingest, transform and load large volumes of data from various sources into data lakes and data warehouses.
  • Collaborate with Data Scientists, Analysts and Software Engineers to ensure clean and reliable data for analytical solutions and models.
  • Build and optimize data storage and retrieval systems using Microsoft Azure Cloud Platform.
  • Develop and maintain data models, databases and schemas to support business intelligence, reporting and analytics.
  • Implement data governance principles, including quality, integrity and security protocols.
  • Monitor, troubleshoot and improve data pipelines, ensuring systems are reliable and scalable.
  • Automate data workflows and optimize performance using modern tools like Apache Spark, Airflow or similar orchestration frameworks.
  • Perform root-cause analysis on complex data issues and implement solutions.
  • Stay up-to-date with emerging technologies in data engineering, proposing innovative solutions to improve data infrastructure.

Required Skills and Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Engineering, IT or related field.
  • 3-5+ years of experience in a Data Engineering role or similar capacity.
  • Proficiency with SQL and programming languages such as Python or Java.
  • Experience with Azure Data Platform (Data Factory, Synapse Analytics, Databricks, AppLogic).
  • Hands-on experience with ETL/ELT tools (e.g., SQL SSIS, Apache Airflow, Talend, Matillion, Informatica).
  • Familiarity with big data technologies like Apache Spark, Kafka or Hadoop.
  • Knowledge of data warehousing concepts and experience with platforms like SQL Server, Azure Synapse Analytics (formerly Azure SQL Data Warehouse), Snowflake, Redshift or BigQuery.
  • Strong problem-solving skills and ability to analyze complex data architectures.
  • Familiarity with CI/CD pipelines, version control (e.g., Git) and data automation.
  • Experience working in an Agile environment.

Nice-to-Have Skills:

  • Experience with streaming data frameworks (Kafka, Flink, Kinesis).
  • Knowledge of data governance and security practices (GDPR, HIPAA compliance).
  • Understanding of Machine Learning Operations (MLOps) or DataOps.
  • Certifications in relevant technologies like Azure Data Engineer or Google Professional Data Engineer.

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