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Posted Jun 28, 2024 1027 views
PKR. 400,000 - 600,000/Month
Responsibilities:
- Responsible for the design, deployment, and maintenance of the business’s data platforms
- Implement strategies directed at acquiring data and promoting the development of new insights across the business
- Owns and extends the business’s data pipeline through the collection, storage, processing, and transformation of large datasets.
- Work with senior data science management and departments beyond the Data and Analytics department in analyzing and understanding data sources
- Participating in design and providing insights and guidance on database technology and data modeling best practices
- Develops and manages scalable data processing platforms that he uses for exploratory data analysis and real-time analytics
- Builds a metadata system where all available data is maintained and cataloged
- Developing ETL processes that convert data into formats through a team of data analysts and dashboard charts
- Process unstructured data, clean data, extract features from labeled/unlabeled data
- Prepare data for training machine learning models
- Retrieves and analyzes data using SQL, and Excel, among other data management systems
- Builds data loading services for the purpose of importing data from numerous disparate data sources, inclusive of APIs, logs, relational, and non-relational databases
- Continual improvement of the business’s data platforms through his observations and well- researched knowledge
- Monitor the existing metrics, analyze data, and lead partnerships with other Data and Analytics teams to identify and implement system and process improvements
- Development of reliable data pipelines that translate raw data into powerful features and signals
- Designs, architects, implements, and supports key datasets that avail structured and timely access to actionable business insights
- Overseeing activities of the junior data engineering teams, ensuring proper execution of their duties and alignment with business vision and objectives
- Performs similar duties as he deems fit for the proper execution of his duties and duties as delegated by the Head of Data Science
Requirements:
- Bachelor’s in Computer Science, Computer Engineering, or a related field
- 05 years of working experience working in a data engineering department, preferably as a Data Engineer in a fast-paced environment and complex business setting
- Demonstrated experience in building and maintaining reliable and scalable ETL on big data platforms as well as experience working with varied forms of data infrastructure inclusive of relational databases such as SQL, Hadoop and Spark
- Must also have had experience in data warehousing inclusive of dimensional modelling concepts and demonstrate proficiency in scripting languages, for example, Python, Perl, and so forth
- Demonstrate machine learning experience and experience with big data infrastructure including MapReduce, Hive, HDFS, YARN, HBase, Oozie, etc.,
- Deep knowledge of data mining techniques, and relational, and non-relational databases
- Oversees and manages junior data engineering teams and to ensure effective management, he must be capable of conveying information and instructions clearly down the line to the junior team
- Sound understanding of building complex ETL pipelines using either open-source tools such as Luigi and airflow or cloud-based solutions
- Highly proficient in the use of MS Office products (Word, Excel, PowerPoint).
- Exceptional skills in SQL server reporting services, analysis services, Tableau, Salesforce, integration services, or any other data visualization tools
- Ability to perform complex data analyses with large data volumes
- Strong knowledge of Linux, OS tools, and file-system level troubleshooting
- Substantial experience working with big data infrastructure tools such as Python, SQS, and Redshift
- Experience with Kafka and Apache superset
- Azure Cloud Applications and Services
- A suitable candidate will also be proficient in Scala, Spark, Spark Streaming, Azure, AWS
- Result-driven individual, passionate and a self-starter, proactive requiring minimal supervision
Working Hours:
Eastern Standard Time (EST)
Job Details
Industry:
Functional Area:
Total Positions:
1 Post
Job Shift:
Third Shift (Night)
Gender:
No Preference
Age:
18 - 35 Years
Minimum Education:
Bachelors
Career Level:
Experienced Professional
Experience:
5 Years - 6 Years (Must have 5 years of relevant experience and expert in Azure)
Apply Before:
Jul 29, 2024
Posting Date:
Jun 28, 2024
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