ADN DigiNet Limited

Summary

Vacancy: —
Location: Dhaka
Maximum Salary: Negotiable
Experience: 5 to 8 years
Published: 18 Dec 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.
Develop and implement data integration and transformation processes using Azure Synapse Analytics, PySpark, and Azure Data Factory.
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

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

Source link

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