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Python ETL Developer(Data Engineer)
Python ETL Developer(Data Engineer)
Cloudesign Technology Solutions's logo

Python ETL Developer(Data Engineer)

Anshul Saxena's profile picture
Posted by Anshul Saxena
5 - 13 yrs
₹15L - ₹28L / yr
Remote only
Skills
skill iconData Analytics
Data Visualization
PowerBI
Tableau
Qlikview
Spotfire
skill iconPython
ETL
Data engineering
Apache Synapse
SQL Azure
databricks
PySpark

Job Description: Data Engineer

Location: Remote

Experience Required: 6 to 12 years in Data Engineering

Employment Type: [Full-time]

Notice: Looking for candidates, Who can join immediately or 15days Max

 

About the Role:

We are looking for a highly skilled Data Engineer with extensive experience in Python, Databricks, and Azure services. The ideal candidate will have a strong background in building and optimizing ETL processes, managing large-scale data infrastructures, and implementing data transformation and modeling tasks.

 

Key Responsibilities:

ETL Development:

Use Python as an ETL tool to read data from various sources, perform data type transformations, handle errors, implement logging mechanisms, and load data into Databricks-managed delta tables.

Develop robust data pipelines to support analytics and reporting needs.

Data Transformation & Optimization:

Perform data transformations and evaluations within Databricks.

Work on optimizing data workflows for performance and scalability.

Azure Expertise:

Implement and manage Azure services, including Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake.

Coding & Development:

Utilize Python for complex tasks involving classes, objects, methods, dictionaries, loops, packages, wheel files, and database connectivity.

Write scalable and maintainable code to manage streaming and batch data processing.

Cloud & Infrastructure Management:

Leverage Spark, Scala, and cloud-based solutions to design and maintain large-scale data infrastructures.

Work with cloud data warehouses, data lakes, and storage formats.

Project Leadership:

Lead data engineering projects and collaborate with cross-functional teams to deliver solutions on time.


Required Skills & Qualifications:

Technical Proficiency:

  • Expertise in Python for ETL and data pipeline development.
  • Strong experience with Databricks and Apache Spark.
  • Proven skills in handling Azure services, including Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake.


Experience & Knowledge:

  • Minimum 6+ years of experience in data engineering.
  • Solid understanding of data modeling, ETL processes, and optimizing data pipelines.
  • Familiarity with Unix shell scripting and scheduling tools.

Other Skills:

  • Knowledge of cloud warehouses and storage formats.
  • Experience in handling large-scale data infrastructures and streaming data.

 

Preferred Qualifications:

  • Proven experience with Spark and Scala for big data processing.
  • Prior experience in leading or mentoring data engineering teams.
  • Hands-on experience with end-to-end project lifecycle in data engineering.

 

What We Offer:

  • Opportunity to work on challenging and impactful data projects.
  • A collaborative and innovative work environment.
  • Competitive compensation and benefits.

 

How to Apply:

https://cloudesign.keka.com/careers/jobdetails/73555

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Subodh Popalwar

Software Engineer, Memorres
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About Cloudesign Technology Solutions

Founded :
2014
Type :
Products & Services
Size :
20-100
Stage :
Profitable

About

Cloudesign is a Software Services and Development company in Mumbai, Delhi, Bangalore focusing on Website & Mobile App Software Development
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Subodh Popalwar

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