Data Engineer
KeySkills
-
Parquet,
Azure Data Lake Storage Gen2,
dimensional modelling,
Synapse Analytics,
Delta Lake,
Microsoft Certified Azure Data Engineer Associate,
Apache Hadoop,
Data Factory,
Data Security,
Data Modelling,
Data Warehousing,
Kafka,
Sql,
Etl Solutions,
Azure Cosmos DB,
Spark,
Data Governance,
Databricks,
Python.,
Company Name
Job Description
- Roles and Responsibilities:
- Minimum 6 years of Data Engineering experience
- Strong experience building scalable solutions using Azure Data Lake Storage Gen2, Azure Data Factory, Azure Databricks, and Azure Synapse Analytics
- Expertise in designing and optimizing data pipelines for ingestion, transformation, and storage
- Strong programming skills in SQL and Python
- Hands-on experience with file formats like Parquet, Delta Lake
- Experience in building and deploying ETL solutions on Azure
- Strong understanding of data modeling, data warehousing, and dimensional modeling
- Familiarity with data governance and data security practices
- Excellent verbal and written communication skills
- Strong analytical, organizational, and problem-solving skills
- Self-starter, able to work independently and in teams.
Job Details
Experience :
6 To 8
Number Of
Vacancies :
10
Job Type :
Permanent
Industry Type : IT/Software
Salary
:
7 Lac - 10 Lac
P.A
Education Summary
UG :
BE/B.Tech
PG :
ME,M.Tech
Contact Details
Contact
Person :
NA
Contact
Number :
1206629494
e-mailId :
rashmi.mishra@birlasoft.com
Address :
Birlasoft (India) Ltd.8th Floor, A - Wing, Prince Infocity II,No.283 / 4, Rajiv Gandhi Salai (OMR),Kandanchavadi, Chennai,Tamilnadu, India
Office Location
Central Jakarta No 1234, Jakarta, IndonesiaCustom Software Engineer
Experience -
2 to 5
Full Stack Engineer
Experience -
2 to 5
Azure Data Engineer
Experience -
4 to 9
AIML Engineer
Experience -
0 to 2
Key Skills -
Python,
TensorFlow,
PyTorch,
Scikit-learn,
NLP,
LLMs,
vector databases,
embeddings,
Spark,
Pandas,
SQL,
MLOps,
CI/CD for ML,
model versioning,
Docker,
cloud ML services,
SageMaker,
Vertex AI,
Azure ML,
APIs,
microservices,
production ML systems,
statistics,
linear algebra,
RAG pipelines,
LLM fine-tuning,
reinforcement learning,
GPU optimization.,