S
Sparx It Solutions
Data Engineer
Skills
SQL QueriesMongoDBData EngineeringPythonNumPypandasPostgreSQLMySQLKafkaSnowflakePySpark
1 month ago
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Important information
Contract type:
Permanent
Salary:
₹1,500,000 – ₹2,700,000 / year
Location:
Ghaziabad, Uttar Pradesh, India
Work mode:
Onsite
Published on:
15 September 2026
What they need
Roles and Responsibilities :
- Design, develop, test, deploy and maintain large-scale data pipelines using ETL tools such as PySpark and SQL.
- Collaborate with cross-functional teams to gather requirements for data warehousing solutions and implement scalable architectures on Snowflake.
- Develop high-quality data models, schemas, and views to support business intelligence reporting needs.
- Troubleshoot complex issues related to data quality, integrity, and performance in real-time streaming applications.
Job Requirements :
- 5-10 years of experience in Data Engineering with expertise in ETL (Extract Transform Load) processes.
- Strong proficiency in Python programming language with experience working with libraries like NumPy, Pandas, Matplotlib.
- Experience designing and implementing scalable big-data architectures using technologies like Kafka or similar messaging queues.
- Proficiency in working with relational databases like MySQL or PostgreSQL as well as NoSQL databases like MongoDB.
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