Data Engineer

Job Description

Title: Data Engineer

Company Name: SEBPO

Vacancy: 1

Age: 25 to 35 years

Location: Dhaka

Salary: Negotiable

Experience:
∎ 1 to 5 years

Published: 27 Feb 2024

Education:
∎ Bachelor of Science (BSc) in Computer Science & Engineering

Requirements:

Additional Requirements:
∎ Age 25 to 35 years

Responsibilities & Context:
∎ We are seeking a talented and experienced Data Analyst/Engineer to join our team. This role is a combination of Data Analytical and Engineering skills. The successful candidate will be responsible for collecting, analyzing, and interpreting large and complex datasets to provide insights and recommendations that drive informed business decisions. You will work closely with stakeholders across the organization to identify key business questions and requirements, design and execute data analyses, and communicate findings and recommendations clearly and concisely. The ideal candidate also needs to have experience in building reports, dashboard, and data pipeline/ETL for data analytics operations. Must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products.

∎ . Perform exploratory data analysis to identify patterns, trends, and relationships in the data and data Models.
∎ . Develop and maintain automated data pipelines/ETL to ensure the timely and efficient delivery of data.
∎ . Conduct ad hoc data analyses to answer specific business questions and provide recommendations to stakeholders.
∎ . Collaborate with cross-functional teams to design experiments and analyze results to inform business decisions.
∎ . Develop and maintain dashboards and reports to monitor key performance indicators and track progress toward business goals.
∎ . Communicate findings and recommendations to stakeholders clearly and concisely, using data visualization and storytelling techniques.
∎ . Must have high-level SQL Query written skills for RDBMS/No-SQL/Hive/Big Data/Metadata.
∎ . Knowledge of data visualization software like Power BI is a must.
∎ . Must be good at Data normalization, Query Optimization, Process Optimization, and Memory Utilization.
∎ . Having knowledge is Python, Panda library, and PySpark package using the Anaconda environment will be a big advantage.
∎ . High-level written and verbal communication skills in English.
∎ . Prepare Product Documentation for End Users.
∎ . Other duties as assigned.


Skills & Expertise:

Compensation & Other Benefits:
∎ Medical allowance, Insurance, Weekly 2 holidays
∎ Salary Review: Yearly
∎ Lunch Facilities: Partially Subsidize
∎ Festival Bonus: 2
∎ . Own tea/coffee-making station and prayer room.
∎ . Night Shift Allowance.
∎ . One yearly team outing.
∎ . Internal and external training.
∎ . Attractive Leave Packages: Casual Leave, Sick Leave, Annual Leave, Maternity Leave

Employment Status: Full Time

Job Location: Dhaka

Job Highlights:
∎ Accelerating career with dynamic work environment.
∎ Global standard of work environment and culture.
∎ Working for a company who promotes equal opportunity for all.

Company Information:
∎ SEBPO
∎ SEBPO, Level 7, Monem Business District, 111, Bir Uttam C.R. Dutta Road, Karwan Bazar, Dhaka-1205.
https://sebpo.com

Address::
∎ SEBPO, Level 7, Monem Business District, 111, Bir Uttam C.R. Dutta Road, Karwan Bazar, Dhaka-1205.
∎ https://sebpo.com

Read Before Apply: Please apply only who are fulfilling all the requirements of this job

Application Deadline: 27 Mar 2024

Category: IT/Telecommunication

Interested By University

University Percentage (%)
Daffodil International University 12.15%
East West University 5.11%
American International University-Bangladesh 4.75%
Jahangirnagar University 4.58%
North South University 4.05%
BRAC University 3.70%
Bangladesh University of Business and Technology 3.17%
Ahsanullah University of Science and Technology 2.82%
United International University 2.11%
University of Dhaka 1.94%

Interested By Age Range

Age Range Percentage (%)
20-30 86.09%
31-35 6.87%
36-40 2.46%
40+ 2.11%

Interested By Salary Range

Salary Range Percentage (%)
0-20K 25.35%
20K-30K 35.21%
30K-40K 17.43%
40K-50K 10.92%
50K+ 11.09%

Interested By Experience Range

Experience Range Percentage (%)
0 years (Freshers) 35.74%
0.1 - 1 years 16.73%
1.1 - 3 years 23.59%
3.1 - 5 years 10.92%
5+ years 13.03%

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