JOB DESCRIPTION

1.JOB PURPOSE

(Summarize in one statement why the job exists; and how it contributes to the overall objective of the company)

2.PRINCIPAL ACCOUNTABILITIES

(Accountabilities associated with the job)

3.SKILLS AND KNOWLEDGE

Technical Skills

Solid proficiency in SQL and experience with relational and NoSQL databases.

Hands-on experience with data engineering frameworks such as Spark, Hadoop, or equivalent distributed systems.

Proficiency in programming languages such as Python, Scala, or Java for data processing.

Experience with cloud data platforms (AWS Preferred, Snowflake ) including data storage, compute, and orchestration services.

Knowledge of data warehousing concepts (dimensional modelling, star/snowflake schemas).

Experience with ETL/ELT tools and orchestration frameworks (e.g., Airflow, Glue).

Familiarity with streaming technologies such as Kafka, Kinesis, or Event Hubs.

Understanding of DevOps and CI/CD practices for data pipelines.

Working knowledge of data security, governance, and compliance principles.

Behavioral Functional Skills





Strong analytical and problem-solving abilities with attention to detail.

Effective communication skills to interact with both technical and non-technical stakeholders.

Ability to manage multiple priorities in a fast-paced environment.

Proactive mindset with a focus on ownership and accountability.

Team-oriented approach with mentoring and collaboration capabilities.

Certification

Preferred or desirable certifications:

oCloud certifications such as AWS Certified Data Analytics, Azure Data Engineer Associate, or Google Professional Data Engineer

oBig data or analytics certifications (Databricks, Snowflake, or equivalent)

Educational Qualifications

a)Qualifications

Minimum Qualification required: Btech/ MCA with commendable Academic background

b)Work Experience

Minimum: 4 to 5 year

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Engineer (New Delhi)
🏢 DMI Finance
📍 New Delhi