Expired on: Sep 4, 2023
| Title | Data Engineer | ||
| Brief Description | Develops and maintains scalable data pipelines to support continuing increases in data volume and complexity. Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization. Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it Writes unit/integration tests, contributes to engineering wiki, and documents work. Designs and develops data integrations and data quality framework | ||
| Qualification | Bachelor of Engineering or equivalent degree in Computer Science or a related technical field. At least 7+ years of experience in the Data engineering field. In-depth skills in developing and maintaining ETL/ELT data pipelines. Experience in data modelling techniques such as Kimball star schema. Hands-on experience with Azure Cloud services such as Azure Data Factory (ADF), Databricks, and Cloud Storage. Experience in workflow management tools such as Airflow, Data streaming App such as Kafka, and CI/CD tools. Excellent communication and collaboration skills, with the ability to work effectively in a team environment | ||
| Experience Required (Years) | Min 7+ years | Expected Role | High-Level |
| No. of Vacancies | 2 | Expected Onboarding Date | Monday, October 02, 2023 |
| Primary Tools/Technologies/Skills | Big Data, Hadoop Ecosystem, Spark, Python, SQL, Hive, SQL and NoSQL databases. ETL/ELT data pipelines. Azure Data Factory (ADF), Databricks, and Cloud Storage. Airflow, Data streaming App such as Kafka, and CI/CD tools. | ||
| Secondary Tools/Technologies/Skills | 6+ years of experience in Big Data, Hadoop Ecosystem, Spark, Python, SQL, Hive, Proficiency in relational SQL and NoSQL databases. |
Job Category: Data Engineer
Job Type: Full Time
Job Location: Karachi
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