Summary
Date Posted: Thursday, March 10, 2022 , Base Salary: Not Disclosed

JOB DETAILS:
Senior Data Engineer - (22000004)
Job Summary;
The Data Engineer will be responsible for creating and maintaining data pipelines, APIs and containerize applications, as well as optimizing data flow and collection from diverse sources. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data softwares and building them from the ground up. The Senior Data Engineer will support our software developers, data base administrators, data analysts, and data scientists on data initiatives and will ensure optimal data access for subsequent analysis and decision-making. They must be self-motivated and comfortable supporting colleagues whenever needs arise.

Key Responsibilities;
• Create and maintain optimal data pipelines and APIs .
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery for greater scalability, etc.
• Build software required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and big data technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into operational efficiency and key business performance metrics.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

Qualifications, Experience and Skills
Master’s degree in Computer Science, Information technology, Informatics, Information Systems or another quantitative field.
• Experience in software development or data engineering (3+ plus)
• Expert proficiency of SQL is a must.
• Female Candidates are encouraged to Apply
Maximum Age:35

Compentencies;
• Experience in designing and implementing databases that involve transactional datasets.
• Experience building pipelines in at least Python or R, beneficial to have some knowledge of Java, C++, scala etc. but not necessary.
• Exposure to Big Data tools such as Hadoop, Spark, Kafka, etc. beneficial
• Experience with at least one type of relational SQL and NoSQL database: Oracle, Postgres, Cassandra and MongoDB.
• Experience with data pipeline and workflow management tools: example Airflow, Azkaban, Luigi etc
• Experience in writing technical documentation that include Entity Relationship Diagram (ERD), data dictionaries and View Creations.
• Strong communication skills to rely technical problems to the management team.
• Knowledge of containerization such as Docker and Kubernetes a bonus.

Work Hours: 8

Experience in Months: 48

Level of Education: Bachelor Degree

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