Verified Job
IT / Software / Data Analyst
AWS/ Azure Data Engineer 4 to 8 years One of the Leading Big4
IT / Software / Data Analyst
#654948
Remote / WFH
Job Description
Capgemini
Software Engineer
Capgemini • Mumbai, Maharashtra • via Capgemini
Full–time
No Degree Mentioned
Apply on Capgemini
Apply on Smart Recruiters Jobs
Apply on Careers I NOMURA
Apply directly on Wellfound
Apply on SimplyHired
Apply on Workday
Apply on Haptik.freshteam.com
Apply directly on Cutshort
Job description
Job DescriptionWorks in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. H...
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Acme Services
AWS/ Azure Data Engineer 4 to 8 years One of the Leading Big4
Acme Services • Mumbai, Maharashtra • via LinkedIn
13 hours ago
Full–time
No Degree Mentioned
Apply on LinkedIn
Job description
Job Title: Data Engineer
Experience: 4 to 8 Years
Budget: 22.5 LPA
Location: Mumbai, Bangalore
Type: Full-Time
Job Description:
Data Engineer (Python, PySpark, Spark, SQL, AWS/Azure)
We’re looking for a Data Engineer who has solid, hands-on experience working with Python, PySpark, Spark, SQL, and either AWS or Azure. This role is focused on building and maintaining reliable data pipelines and helping us improve how we store, process, and use data across the company.
What you’ll do
• Build and maintain data pipelines using Python and PySpark.
• Work with Spark to process large datasets and improve performance where needed.
• Write and tune SQL for data extraction, transformation, and reporting.
• Work with our cloud environment (AWS or Azure) to move and manage data.
• Collaborate with data analysts, data scientists, and engineering teams to support their data needs.
• Help improve data quality, monitoring, and overall reliability of our data systems.
• Troubleshoot issues in data workflows and optimize jobs for better speed and stability.
What we’re looking for
• Strong, practical experience with Python and PySpark.
• Experience with Databricks.
• Very comfortable working with Spark in a production environment.
• Solid SQL skills — you should be able to write and optimize complex queries.
• Hands-on experience with AWS or Azure data services.
• Understanding of data modeling, ETL/ELT processes, and general data engineering best practices.
• Ability to work independently and take ownership of projects.
• Someone who enjoys solving problems and digging into messy datasets.
Nice to have
• Familiarity with Airflow, Data Factory, Glue, or other orchestration tools.
• Some exposure to CI/CD, Git, or general DevOps workflows.
• Knowledge of data governance or security practices.
Software Engineer
Capgemini • Mumbai, Maharashtra • via Capgemini
Full–time
No Degree Mentioned
Apply on Capgemini
Apply on Smart Recruiters Jobs
Apply on Careers I NOMURA
Apply directly on Wellfound
Apply on SimplyHired
Apply on Workday
Apply on Haptik.freshteam.com
Apply directly on Cutshort
Job description
Job DescriptionWorks in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. H...
Report this listing
Acme Services
AWS/ Azure Data Engineer 4 to 8 years One of the Leading Big4
Acme Services • Mumbai, Maharashtra • via LinkedIn
13 hours ago
Full–time
No Degree Mentioned
Apply on LinkedIn
Job description
Job Title: Data Engineer
Experience: 4 to 8 Years
Budget: 22.5 LPA
Location: Mumbai, Bangalore
Type: Full-Time
Job Description:
Data Engineer (Python, PySpark, Spark, SQL, AWS/Azure)
We’re looking for a Data Engineer who has solid, hands-on experience working with Python, PySpark, Spark, SQL, and either AWS or Azure. This role is focused on building and maintaining reliable data pipelines and helping us improve how we store, process, and use data across the company.
What you’ll do
• Build and maintain data pipelines using Python and PySpark.
• Work with Spark to process large datasets and improve performance where needed.
• Write and tune SQL for data extraction, transformation, and reporting.
• Work with our cloud environment (AWS or Azure) to move and manage data.
• Collaborate with data analysts, data scientists, and engineering teams to support their data needs.
• Help improve data quality, monitoring, and overall reliability of our data systems.
• Troubleshoot issues in data workflows and optimize jobs for better speed and stability.
What we’re looking for
• Strong, practical experience with Python and PySpark.
• Experience with Databricks.
• Very comfortable working with Spark in a production environment.
• Solid SQL skills — you should be able to write and optimize complex queries.
• Hands-on experience with AWS or Azure data services.
• Understanding of data modeling, ETL/ELT processes, and general data engineering best practices.
• Ability to work independently and take ownership of projects.
• Someone who enjoys solving problems and digging into messy datasets.
Nice to have
• Familiarity with Airflow, Data Factory, Glue, or other orchestration tools.
• Some exposure to CI/CD, Git, or general DevOps workflows.
• Knowledge of data governance or security practices.
