Senior data engineer – Python, pyspark, AWS – 5+ years – Gurgaon
Summary: An excellent opportunity for someone having minimum of five years of experience with expertise in building data pipelines. A person must have experience in Python, pyspark and AWS.
Location- Gurgaon (Hybrid)
Your Future Employer- One of the largest insurance providers.
Responsibilities-
To design, develop, and maintain large-scale data pipelines that can handle large datasets from multiple sources.
Real-time data replication and batch processing of data using distributed computing platforms like Spark, Kafka, etc.
To optimize performance of data processing jobs and ensure system scalability and reliability.
To collaborate with DevOps teams to manage infrastructure, including cloud environments like AWS.
To collaborate with data scientists, analysts, and business stakeholders to develop tools and platforms that enable advanced analytics and reporting.
Requirements-
Hands-on experience with AWS services such as S3, DMS, Lambda, EMR, Glue, Redshift,RDS (Postgres) Athena, Kinesics, etc.
Expertise in data modelling and knowledge of modern file and table formats.
Proficiency in programming languages such as Python, PySpark, SQL/PLSQL for implementing data pipelines and ETL processes.
Experience data architecting or deploying Cloud/Virtualization solutions (Like Data Lake, EDW, Mart ) in enterprise.
Cloud/hybrid cloud (preferable AWS) solution for data strategy for Data lake, BI and Analytics.
What is in for you-
A stimulating working environment with equal employment opportunities.
Growing of skills while working with industry leaders and top brands.
A meritocratic culture with great career progression.
Reach us- If you feel that you are the right fit for the role please share your updated CV at randhawa.harmeen@crescendogroup.in
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