2 months ago
Skillmind Software Limited

Data Engineer

Skillmind Software Limited

Software & Data

IT & Telecoms KSh 75,000 - 90,000
Easy Apply

Job Summary

We are looking for a skilled Data Engineer with 4–5 years of experience in building and maintaining data pipelines, integrating data from multiple sources, and ensuring reliable data availability for analytics and reporting. The ideal candidate will have strong expertise in SQL, Python, big data tools, and cloud platforms.

  • Minimum Qualification : Bachelors
  • Experience Level : Senior level
  • Experience Length : 5 years

Job Description/Requirements


Key Responsibilities


Design, develop, and maintain scalable data pipelines to collect, process, and store large volumes of structured and unstructured data.


Work with ETL/ELT frameworks to transform raw data into usable datasets.


Build and optimize data warehouses, data lakes, and databases.


Collaborate with data scientists, analysts, and business teams to provide reliable data.


Implement data quality checks, monitoring, and governance practices.


Use cloud services (AWS, Azure, GCP) for data storage, streaming, and processing.


Write efficient SQL queries and Python scripts for data manipulation.


Ensure data security, scalability, and performance optimization.


Troubleshoot and resolve data pipeline or system issues.


Required Skills & Experience


4–5 years of hands-on experience as a Data Engineer.


Strong expertise in SQL and Python for data engineering tasks.


Experience with ETL/ELT tools (Informatica, Talend, Apache Airflow, dbt, etc.).


Knowledge of big data technologies (Spark, Hadoop, Kafka).


Hands-on with cloud data services (AWS Redshift, Azure Data Factory, GCP BigQuery).


Familiarity with data warehousing concepts and dimensional modeling.


Strong problem-solving, debugging, and communication skills.


Preferred Qualifications


Experience with real-time data streaming (Kafka, Kinesis, Pub/Sub).


Knowledge of NoSQL databases (MongoDB, Cassandra).


Exposure to MLOps / DataOps practices.


Prior experience in finance, retail, or healthcare data systems.


Relevant certifications (AWS Data Engineer, Azure Data Engineer, GCP Data Engineer).

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