Data Engineer will be responsible for designing, developing, and maintaining batch data pipelines while defining data strategy, architecture, and best practices to enhance data engineering solutions. This role spans across Enterprise Data Lake, Azure Data Lake,. The engineer will develop both on-premise and cloud-based data solutions, estimate development efforts, design scalable architectures, manage releases, and ensure regulatory compliance. Additionally, the role supports operational reporting, enabling data-driven decision-making and mitigating risks.
- Create and maintain optimal data pipeline,
- Prepare and automate various business datasets into meaningful reporting that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Keep our data separated and secure
- Create data repository of best practices for team members that assist team in building and optimizing our product into an innovative industry leader.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- They should also have experience using the following software/tools:
- Provides technical leadership in Big Data space (Hadoop Stack like M/R, HDFS, Pig, Hive, HBase, Flume, Sqoop, NoSQL stores like Cassandra, HBase etc.) across Fractal and contributes to open-source Big Data technologies.
- Write and tune complex Java, MapReduce, and Hive jobs.
- Adapt quickly to changing requirements and be willing to work with different technologies if required.
- Experience with Azure cloud services on ADLS, Synapse & Data Bricks
- Experience leading a Backend/Distributed Data Systems team while remaining hands-on is very important.
- Lead the effort to build, implement and support the data infrastructure.
- Manage the team and vendor partners, ensuring to prioritize projects according to customer and internal needs, and develops top-quality dashboards using industry best practices.
- Manage team of data engineers (both full-time associates and/or third-party resources)
- Own most deliverables for the Big Data team from a delivery perspective.
- Analyzes and confirms the integrity of source data to be evaluated.
- Leads in deployment and auditing models and attributes for accuracy.
- Experience with stream-processing systems: Spark-Streaming, Strom etc.
- Experience with object-oriented/object function scripting languages: Python, Scala etc.
- Experience in designing and building dimensional data models to improve accessibility, efficiency, and quality of data.
- Should be proficient in writing Advanced SQLs, Expertise in performance tuning of SQLs. Experience with data science and machine learning tools and technologies is a plus.
- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
The leading financial institution in MENA
While more than half a century old, we proudly think like a challenger, startup, and innovator
in banking and finance, powered by a diverse and dynamic team who put customers first.
Together, we pioneer key innovations and developments in banking and financial services.
Our mandate To help customers find their way to Rise Every Day, partnering with them through
the highs and lows to help them reach their goals and unlock their unique vision of success.
Delivering superior service to clients by leading with innovation, treating colleagues with dignity and fairness while pursuing opportunities that grow shareholders value.
We actively contribute to the community through responsible banking in our mission to inspire more people to Rise.
