Data Engineer
Data Engineer
Posted on :
13-12-2024
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Office Location : Office No: 403405 Time Square CG Road Ellisbridge Ahmedabad Gujarat380006.
Duration & Type of Employment : Full Time Permanent
Experience Required : 2 yrs
Work Style : Hybrid
In Office days : 3 days a week (Hybrid)
Relocation : Candidate must be willing to relocate to Ahmedabad GJ with reasonable notice.
Ideal Candidate :
We are seeking a highly motivated and adaptable Data Engineer Analyst to join our dynamic team. This role is ideal for someone who thrives on learning new technologies improving data platforms and collaborating with crossfunctional teams. You will play a critical role in designing building and optimizing our data infrastructure while supporting analysts in resolving datarelated queries and providing actionable insights.
Requirements
Must Have Technical Capabilities (If applicable) :
Proficiency in GitHub CI/CD pipelines Terraform and AWS services like Lambda API Gateway and S3.
Strong knowledge of Spark SQL and PySpark for processing large datasets.
Hands on experience databricks AWS Glue and Airflow.
Basic understanding of system design principles for building scalable and maintainable systems.
Familiarity with data modelling techniques and data warehouse design (Kimball star schema snowflake schema).
Excellent problemsolving skills and ability to work with analysts to resolve datarelated queries.
Experience with Power BI for building interactive dashboards and reports.
Exposure to containerization technologies like ECR and ECS.
Essential Job Functions & Duties :
Learning and Adaptation :
Stay up to date with the latest trends and technologies in data engineering and analytics.
Quickly adapt to new tools platforms and methodologies.
Platform Optimization :
Analyse and provide suggestions for improving the efficiency reliability and scalability of the data platform.
Drive innovation in data processes and workflows.
Data Engineering & Infrastructure :
Work with modern tools and technologies such as GitHub CI/CD Terraform AWS Lambda API Gateway S3 ECR ECS Spark SQL and PySpark.
Support the development and deployment of scalable data pipelines and services using databricks AWS Glue or Airflow.
Collaboration :
Partner closely with analysts to resolve queries and ensure they have access to the right data for insights.
Act as a bridge between technical teams and business stakeholders.
Data Modelling :
Apply knowledge of data modelling techniques including Kimbal methodology star schemas and snowflake schemas to design efficient data warehouses and marts.
Reporting & Visualization (Good to Have) :
Utilize tools like Power BI to create reports and dashboards making data accessible and actionable for stakeholders.
Other Responsibilities :
A team player with strong communication skills capable of collaborating across technical and nontechnical teams.
Someone with a growth mindset eager to learn new technologies and contribute to
continuous improvement.
An analytical thinker who can provide creative solutions to complex data challenges.
Benefits
Hybrid Working Culture
Amazing Perks & Medical Benefits
5 Days Working
Mentorship programs & Certification Courses
Flexible work arrangements
Competitive Salary
GitHub CI/CD, Terraform, AWS Lambda, API Gateway, S3, ECR, ECS, Spark SQL, PySpark , Node JS
Education
- Preferred Educational Background - Bachelors/Masters in Computer or IT - Alternative Acceptable Educational Background - BCA, MCA,Mathematics,Big Data - Minimum Experience Required - 1+yrs
Employment Type
Full Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
