Data Engineer - Python Programming (1-3 yrs)

Job Title : Data Engineer

Office Location : Office No: 403-405, Time Square, CG Road, Ellisbridge, Ahmedabad, Gujarat-380006.

Duration & Type of Employment : Full Time Permanent

Experience Required : 2 yrs

Work Style : Hybrid

In Office days : 3 days a week

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 cross-functional teams. You will play a critical role in designing, building, and optimizing our data infrastructure while supporting analysts in resolving data-related queries and providing actionable insights.

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 problem-solving skills and ability to work with analysts to resolve data-related 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 non-technical 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

- Flexible work arrangements

- Competitive Salary