Senior Data Engineer

Hi,

We are looking for an experienced Data Engineer to join our IT team. The ideal candidate will have at least 6-10 years of hands-on experience . Kindly share your profile at career@mezash.com, if the below J.D. is matching with your profile.

Note : This is an urgent hiring, share your profile if you are an immediate joiner only(* Apply only who can join in 5-10 Days).

## Shift Timings: General Shift Time

## Data Engineer

##Office: Noida

## Working Mode: WORK FROM OFFICE (100%)

##Job Title: Data Engineer (Python Expert)

##Location: NOIDA

##Experience: 4-8Years

Data Engineer

Key Responsibilities:

• Design and develop robust

  ETL pipelines

  to extract, transform, and load data from various sources.
• Write efficient

  Python scripts

  to parse structured and unstructured data from APIs, databases, and flat files.
• Build and maintain

  data models

  that feed into interactive

  Power BI dashboards and reports

  .
• Automate data workflows and reporting processes to improve efficiency and accuracy.
• Conduct

  exploratory data analysis (EDA)

  and mining to derive business insights.
• Collaborate with cross-functional teams including analysts, engineers, and business stakeholders to define data requirements.
• Ensure

  data quality, consistency, and compliance

  with organizational and industry standards.

Required Skills and Qualifications:

• 6-10

  years

  of professional experience as a

  Data Scientist

  or

  Data Engineer

  .
• Advanced proficiency in

  Python

  for data manipulation (e.g.,

  Pandas, NumPy

  ).
• Strong experience in building/managing

  ETL pipelines

  using tools like

  Airflow

  ,

  Azure Data Factory

  , or custom Python scripts.
• Hands-on expertise in

  Power BI

  , including dataset creation, dashboard design, and

  DAX expressions

  .
• Solid knowledge of

  SQL

  and relational databases such as

  PostgreSQL, MySQL, or MSSQL

  .
• Familiarity with working with

  REST APIs

  ,

  JSON

  , and data normalization techniques.
• Experience with

  cloud platforms

  (Azure, AWS, GCP) is a plus.