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
- Strong 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
