AWS Data Engineer designing and maintaining scalable cloud - based data platforms within Banking and Financial Services at EXL. Collaborating across teams to enable data - driven decision - making through cloud technologies.
About the role
- Principal Data Engineer designing and developing innovative data analytical solutions for the gaming industry. Leading and mentoring while engaging with clients to fulfill their data engineering needs.
Responsibilities
- Lead the design, development, and maintenance of end-to-end data analytical solutions using Microsoft on-premises and cloud technologies.
- Engage in collaborative requirement elicitation activities with our valued clientele.
- Mentor and guide junior team members in the field of data engineering.
- Showcase your expertise by delivering innovative analytical solutions to our clients and contributing to knowledge transfer within the organization.
Requirements
- 6+ years of experience as a data engineer.
- Familiarity with analytical architectures including Data Warehouses, Data Lakes and Data Lakehouses.
- Knowledge of Microsoft relational engines available – both on-premises (MS SQL Server) and on the cloud (Azure SQL, Azure Synapse Analytics Dedicated Pools).
- Knowledge of query and workload optimization.
- Knowledge of administrating and managing analytical solutions both on premises and on the cloud.
- Knowledge of NoSQL offerings on Azure (e.g. CosmosDB).
- Knowledge of setting up Data Lakes on ADLS gen 2 and Azure Synapse Analytics.
- Knowledge of using SSIS and Azure Data Factory to set up ETL jobs.
- Knowledge of setting up OLAP solutions using SSAS.
- Familiarity with Azure Data Catalog to manage data lake metadata.
- Knowledge of governance over Azure based analytical solutions including using tools such as Purview, Active Directory, Key Vault, Azure DevOps, etc.
- Knowledge of using Azure Stream Analytics to capture and analyze data in real time.
- Knowledge of setting up data warehouse solutions both on-premises (using MS SQL Server) and on the cloud (using Azure Synapse Analytics).
- Knowledge of Dimensional Modeling (Dimensions, Facts, Slowly Changing Dimensions, Outriggers, Role Playing Dimensions, Junk Dimensions, Degenerate Dimensions, Multi-valued Dimensions, Transactional Facts, Periodic Snapshot Facts and Accumulating Snapshot Facts).
- Knowledge of implementing common ETL patterns to support data warehouse workloads.
- Knowledge of using U-SQL, PolyBase and Azure Data Lake Analytics to perform federated querying.
- Knowledge of PowerBI.
- Familiarity with SSRS.
- Snowflake Experience: Experience with Snowflake is required.
- Nice to Have:
- An MSc in Computer Science or other relevant field.
- Familiarity with Azure Databricks.
- Familiarity with DataOps
- Familiarity with Azure Cognitive Services.
- Familiarity with Azure ML.
- Familiarity with MLOps.
- Familiarity of containerization tools and frameworks (Docker, Kubernetes, etc.)
- Familiarity with Azure HD Insight.
- Familiarity with the Hadoop ecosystems, including tools like Hive, Spark and Kafka.
- Familiarity with Azure Functions to perform lightweight transformations.
Benefits
- Salary paid in USD
- Six-month career advancing opportunities
- Supportive and friendly work environment
- Premium medical insurance [employee +family]
- English language development courses
- Interest-free loans paid over 2.5 years
- Technical development courses
- Planned overtime program (POP)
- Employment referral program
- Premium location in Maadi
- Social insurance
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior Data Engineer designing and scaling advanced data platforms for 5G and future 6G innovations at Nokia. Building robust data pipelines while collaborating with Data Scientists and Engineers in a hybrid setting.
Senior Data Engineering Consultant at Gradion transforming data infrastructure for global clients. Modernizing legacy systems and operationalizing AI/ML solutions with cloud and AI consultants.
Data Engineer ETL responsible for AI model data cleaning and development. Leading projects in a hybrid work environment in Singapore.
EU Commercial Data Engineer developing scalable data solutions for Genmab’s commercial teams. Collaborating with cross - functional teams to enhance business insights and decision making through reliable data.
Specialist, Data Engineering at CoverMyMeds enhancing and expanding data platforms for commercial data products. Collaborating with multiple teams to design scalable data solutions from various sources.
Team Lead in Data Engineering at Avanquest mentoring data engineering team and ensuring efficient data management across platforms. Collaborating with departments to align solutions and optimize workflows.
Data Architect at RSM leading AI - driven data migration initiatives within Salesforce ecosystem. Implementing data governance and optimizing performance across complex datasets.
Senior Data Engineer at Capgemini designing and optimizing scalable data architectures on Databricks and GCP. Collaborating across teams to transform business needs into reliable technical solutions.
Data Engineer transforming legacy on - premises systems to cloud - native architectures for advanced data analytics. Collaborating with teams to build efficient data solutions using Python and AWS.