ADN DigiNet Limited
ADN DigiNet Limited
ADN DigiNet Limited
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Summary
- Vacancy: —
- Location: Dhaka
- Maximum Salary: Negotiable
- Experience: 5 to 8 years
- Published: 24 Jun 2024
Requirements
Education
- Bachelor of Science (BSc) in Computer Science & Engineering, Bachelor of Science (BSc) in Communication Engineering, Bachelor of Science (BSc)
Experience
- 5 to 8 years
- The applicants should have experience in the following business area(s):
IT Enabled Service, Financial Technology (Fintech) Startup
Additional Requirements
- 5-8 years of experience in the field of data, analytics, or BI.
- Experience with Microsoft Azure services.
- Experience with data visualization tools.
- Expertise in developing ETL processes.
- Proficiency in advanced SQL and query optimization for relational databases, big data, and Azure Data Lake environments.
- Knowledge of data modeling concepts.
- Excellent communication and collaboration skills.
- Ability to work independently and as part of a team.
Responsibilities & Context
Job Context
We are seeking a promising Data Engineer to join our growing team. In this role, he/she will be responsible for designing, developing, and implementing data pipelines and business intelligence solutions using Microsoft Azure technologies. The incumbent will work closely with data scientists, analysts, and other stakeholders to ensure that our data infrastructure is efficient, scalable, and secure.
Responsibilities
- Design and develop end-to-end data platform using Azure technologies, including Azure Data Factory, Data Lake, Synapse Analytics, and Analysis Services.
- Build data pipelines in Azure Synapse Analytics for the Cloud Analytics platform. Design, develop, and support technical solutions for the Raw (Bronze), Enriched (Silver), and Curated (Gold) layers in the Medallion data architecture.
- Develop and maintain ETL processes using Shell scripting and Azure Synapse.
- Write and optimize complex SQL queries for relational databases, big data, and Azure Data Lake environments.
- Design and implement data models like Star Schema and Snowflake schema.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and translate them into technical solutions.
- Monitor and troubleshoot data pipelines and ensure data quality and integrity.
- Stay up-to-date on the latest data engineering and Azure technologies.
Skills & Expertise
Azure
Big Data
Data Analytics
ETL Tools
Machine Learning
Power BI
SQL
Compensation & Other Benefits
- Mobile bill, Weekly 2 holidays, Medical allowance
- Lunch Facilities: Partially Subsidize
- Salary Review: Yearly
- Festival Bonus: 2
Workplace
Work at office
Employment Status
Contractual
Job Location
Dhaka