
Data Engineering Lead
24 hours ago
Data engineer with a solid technical background and banking experience in data-intensive systems (>7 years).
Responsibilities / Qualifications- Strong experience in Big Data, Hadoop Ecosystem, Spark Streaming, Kafka, Python, SQL, Hive, NIFI, Airflow.
- Proficient with Azure Cloud services such as Azure Data Factory (ADF), Databricks, ADLS, Azure Synapse, Logic Apps, Azure Functions. Or similar data stack knowledge within Google/AWS cloud services.
- Proficiency in relational SQL, Graph and NoSQL databases.
- Proficiency in Elastic Search and Couchbase databases.
- In-depth skills in developing and maintaining ETL/ELT data pipelines.
- Experience in data modelling techniques such as Kimball star schema, 3NF, vault modelling, etc.
- Experience in workflow management tools such as Airflow, Oozie and CI/CD tools.
- Data streaming solutions in Kafka or Confluent Kafka.
- Hands-on experience in Google BigQuery, Google Analytics & Clickstream Data Model.
- Reporting knowledge in Power BI, Tableau, Qlik, etc.
- Strong foundation in Data Management Fundamentals, Data Architecture, Modelling, Governance.
- Strong Domain Knowledge in Banking/Finance: understanding processes, products, services, regulations, and operational aspects of banking institutions.
- Hands-on knowledge in Hadoop and cloud ecosystems (Azure/AWS) and ETL jobs migration.
- Knowledge of Advanced Analytics and AI tools.
- Minimum BS Degree in Computer Science, Information Technology or Engineering.
- Banking Domain Knowledge will be a Plus.
Competitive Salary, Medical OPD & IPD, Life Insurance, EOBI.
Seniority level- Mid-Senior level
- Full-time
- Consulting
- Software Development
Referral information and job alerts are provided for candidate convenience.
LocationKarachi Division, Sindh, Pakistan
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