Job Title : Full Stack Data Engineer Senior Analyst
Experience : 2-5 Years
Location : Powai Mumbai
Roles & Responsibilities
- Develop and maintain scalable data pipelines for large-scale data processing.
- Build and manage ETL processes ensuring data quality and integrity.
- Design and implement data models and analytics solutions.
- Work on data visualization and BI tools for insights generation.
- Support AI/ML initiatives and data-driven use cases.
- Develop and maintain microservices and server-side APIs.
- Work on cloud and hybrid data architectures.
- Implement CI/CD pipelines and DevOps practices.
- Collaborate with business and cross-functional teams.
- Ensure data governance compliance and control frameworks.
- Analyze complex data problems and provide actionable solutions.
Requisites
- Bachelors or Masters degree in Computer Science Engineering or related field.
- Strong experience in data engineering analytics or software development.
- Proficiency in Python Java or scripting languages.
- Experience with ETL processes data pipelines and data modeling.
- Knowledge of cloud technologies like AWS Snowflake or similar.
- Experience with tools like Airflow Jenkins or CI/CD pipelines.
- Understanding of microservices architecture and API development.
- Familiarity with BI tools and data visualization.
- Exposure to AI/ML concepts is an added advantage.
- Ability to work in Agile and cross-functional environments.
Required Skills:
PythonJavaScripting LanguagesETL processesData PipelinesData ModelingAirflowJenkinsCI/CDAWSSnowflake
Job Title : Full Stack Data Engineer Senior Analyst Experience : 2-5 YearsLocation : Powai MumbaiRoles & Responsibilities Develop and maintain scalable data pipelines for large-scale data processing. Build and manage ETL processes ensuring data quality and integrity. Design and implement data mod...
Job Title : Full Stack Data Engineer Senior Analyst
Experience : 2-5 Years
Location : Powai Mumbai
Roles & Responsibilities
- Develop and maintain scalable data pipelines for large-scale data processing.
- Build and manage ETL processes ensuring data quality and integrity.
- Design and implement data models and analytics solutions.
- Work on data visualization and BI tools for insights generation.
- Support AI/ML initiatives and data-driven use cases.
- Develop and maintain microservices and server-side APIs.
- Work on cloud and hybrid data architectures.
- Implement CI/CD pipelines and DevOps practices.
- Collaborate with business and cross-functional teams.
- Ensure data governance compliance and control frameworks.
- Analyze complex data problems and provide actionable solutions.
Requisites
- Bachelors or Masters degree in Computer Science Engineering or related field.
- Strong experience in data engineering analytics or software development.
- Proficiency in Python Java or scripting languages.
- Experience with ETL processes data pipelines and data modeling.
- Knowledge of cloud technologies like AWS Snowflake or similar.
- Experience with tools like Airflow Jenkins or CI/CD pipelines.
- Understanding of microservices architecture and API development.
- Familiarity with BI tools and data visualization.
- Exposure to AI/ML concepts is an added advantage.
- Ability to work in Agile and cross-functional environments.
Required Skills:
PythonJavaScripting LanguagesETL processesData PipelinesData ModelingAirflowJenkinsCI/CDAWSSnowflake
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