Senior Data Engineer

5 days ago

Nairobi Nairobi City Kenya ICEA Lion Group Full time 120,000 - 240,000 per year

Job Summary As a Senior Data Engineer at ICEA LION, you will develop, optimize, andmanage our data lake, data pipelines, and data infrastructure to poweranalytics, reporting, advanced analytics, machine learning & AI. Your rolewill focus on building scalable data products that unify data across allinteractions and touchpoints. Working with cross -functional teams, you willenforce data governance standards and drive a collaborative, data -drivenculture. Roles and Responsibilities​        Set up, manage, and maintain the company's data analytics systems, including the operational data store, feature store, and data warehouse, to support informed decision -making.       Create and manage processes (ETL/ELT) for collecting, cleaning, and transforming data from different sources.       Build and improve data structures to support reporting, advanced analytics, and machine learning projects.       Ensure data queries run efficiently while keeping costs low and making the best use of resources.       Work closely with technology and data analytics teams to develop customized data solutions and include machine learning insights.       Set up and manage machine learning workflows to make sure models run smoothly and reliably.       Implement data quality checks, follow governance rules, and enforce security to protect and control access to data.       Automate tasks and improve processes using tools to ensure stable and scalable data pipelines. Clearlydocument all processes and share knowledge to help the team adopt bestpractices.Requirements Academic and Professional Qualifications        Bachelor's Degree in Computer Science, Data Science,Information Technology, Engineering, or a related field.       Professional Data Engineer Certification is a plus. Optional:Master's Degree in Data Science, Computer Science, Information Systems, or arelated discipline. Experience        Extensive knowledge of data warehousing concepts,including dimensional modelling and data marts.       Minimum of 5 years in data engineering, data architecture,or a related field.       Experience in leading data projects or teams is highlydesirable.       Advanced proficiency in SQL and NoSQL with hands -onexperience creating complex queries and data transformations.       Proven experience with cloud -based data engineering toolssuch as Cloud Storage, Data flow, Cloud Composer, Cloud Functions, and AWS Glue.       Strong familiarity with ETL/ELT tools (e.g., Apache Beam,Apache Airflow, SSIS, Data flow, dbt) for building and maintaining datapipelines.       Proficient in scripting languages like Bash, Python, andJavaScript to support automation and integration tasks.       Skilled in managing and optimizing large datasets forperformance and cost -efficiency.       Excellent communication skills with a demonstrated abilityto work collaboratively in cross -functional teams.    Familiaritywith Machine Learning (ML) techniques and Language Learning Models (LLMs) tosupport data -driven applications.        Experience with cloud platforms such as AWS, Google CloudPlatform, or Azure, particularly their data services (e.g., AWS S3, GCPBigQuery).

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