Data Engineer

Vadodara - India

Monthly Salary: Not Disclosed

Posted on: 9 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Role: Data Engineer
Experience: 5 years
Location: Vadodara (Gujarat)
Work Mode: 5 Days WFO

Mandatory Skills: DataBricks SQL Data Modelling Azure/AWS

Key Roles & Responsibilities

Design implement and maintain scalable data solutions and pipelines on the AWS Cloud Platform.

Architect optimize and maintain data models data structures and databases (Redshift S3 etc.) to ensure performance and efficiency.

Develop and manage ETL processes using AWS Glue AppFlow SQL Python and PySpark.

Collaborate with business stakeholders to translate requirements into robust data solutions.

Build and optimize data models to extract and integrate information from diverse sources (SAP HRMS Salesforce Google Sheets etc.).

Write and optimize SQL queries for analytics dashboards and reporting use cases.

Monitor troubleshoot and optimize data pipelines to ensure reliability and accuracy.

Partner with software engineers to design and deliver data-driven features.

Perform root cause analysis and resolve data quality or pipeline issues.

Maintain detailed documentation for data architecture integration flows and ETL processes.

Identify and implement opportunities to improve database performance (e.g. indexing structure optimization).

Support and enhance existing applications by updating code features and integrations to meet evolving requirements.

Design and implement data security and access control measures in compliance with best practices.

Recommend infrastructure or architecture improvements to enhance capacity scalability and performance.

Apply knowledge of process industry operations to ensure business relevance of data solutions.

Experience

5 to 8 years of professional experience in data engineering integration and support roles.

Qualification

B.E / in Computer Science Information Technology or related discipline.

Hands-on Experience with AWS Services

AWS Glue (ETL Jobs)

AWS AppFlow (Data Integration)

Amazon Redshift (Data Warehouse)

Amazon S3 (Storage & Data Lake)

SQL Python PySpark

Core Competencies

Functional:

Strong foundation in Data Warehousing

Knowledge of Data Modelling

Expertise in ETL processes

Behavioral:

Effective communication skills with stakeholders and team members

Strong collaboration and teamwork abilities

Excellent problem-solving and decision-making skills

Proven time management and organizational capabilities

If interested please share your resume with Also dont forget to follow our company page @Ample Success Hr Solutions for regular updates on job openings.

Job Role: Data Engineer Experience: 5 years Location: Vadodara (Gujarat) Work Mode: 5 Days WFO Mandatory Skills: DataBricks SQL Data Modelling Azure/AWS Key Roles & Responsibilities Design implement and maintain scalable data solutions and pipelines on the AWS Cloud Platform. Architec...