Location
Gurgaon | India
Job description
Company Overview:
Jio Platforms Limited is the force behind the meteoric rise of India's leading telecom operator Jio with 400 Million+ customers. We provide solutions for customers (B2C) and enterprise (B2B) and have an end-to-end 5G solution consisting of 5G Radio, a complete 5G Core Network, AI/ML ATOM platform for 4G/5G, MANO for cloud CNF orchestration, ACI for cloud infrastructure deployment, and cloud-native OSS Platforms. Our product line is cloud native and can be deployed on public or private clouds. We have a headcount of 51-200 employees and our headquarters is in Navi Mumbai, Maharashtra. Visit our website at for more information.
Position Overview:
We are seeking a highly skilled Lead/ Senior Data Engineer/ Data Engineer with 3 to 8 years of extensive experience to join our dynamic team. The ideal candidate will have extensive experience in building and optimizing data pipelines, data architecture, and data sets for optimal performance. The Senior Data Engineer will collaborate closely with cross-functional teams to design and implement scalable solutions for data ingestion, processing, and analysis.
Responsibilities:
- 3 to 8 years of experience in data engineering roles with a focus on building data pipelines and data infrastructure.
- Design, build, and maintain robust data pipelines and ETL processes to support data integration, transformation, and storage.
- Develop and implement data architecture solutions using technologies such as Kafka, Hadoop, Hive, PySpark, and Cloudera.
- Optimize and tune data pipelines for performance, reliability, and scalability.
- Collaborate with data scientists, analysts, and software engineers to understand data requirements and deliver actionable insights.
- Work closely with infrastructure teams to manage on-premise data infrastructure and ensure high availability and security.
- Implement best practices for data governance, data quality, and data security.
- Evaluate and recommend new technologies, tools, and frameworks to enhance data engineering capabilities.
- Provide technical leadership and mentorship to junior members of the data engineering team.
Qualifications:
- Bachelors or masters degree in computer science, Engineering, or related field.
- Extensive hands-on experience with Kafka, Hadoop, Hive, PySpark, and Cloudera.
- Proficiency in Python programming language for data manipulation, scripting, and automation.
- Strong understanding of distributed systems, data modeling, and database concepts.
- Experience working with on-premise data infrastructure and cloud platforms (e.g., AWS, Azure, GCP).
- Excellent problem-solving skills and ability to troubleshoot complex data issues.
- Strong communication and collaboration skills with the ability to work effectively in cross-functional teams.
- Proven track record of delivering high-quality solutions on time and within budget.
Note:
There will be a walk-in drive for this job on 16th March in Gurgaon. Details will be shared with shortlisted candidates.
Job tags
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