Amazon Web Services (AWS)
Java
PythonJob Description – Lead Data Engineer (AWS + Big Data)
Location: Pune - Hybrid
Experience: 8+ Years
Role Overview
We are looking for a Lead Data Engineer with strong hands-on expertise in AWS-based Big Data platforms. The ideal candidate should have extensive implementation experience in designing and building scalable data pipelines, mentoring engineering teams, and driving technical delivery. Databricks exposure is mandatory, while deep implementation experience in Databricks is not essential. Candidates with HBase experience will be preferred.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL/ELT solutions on AWS.
- Build and optimize Big Data applications using Spark/PySpark, HBase, Hive, Kafka, and related technologies.
- Work with AWS services such as S3, Glue, Lambda, IAM, and CloudWatch for cloud-native data engineering.
- Lead technical implementation, mentor engineers, conduct code reviews, and drive engineering best practices.
- Ensure data quality, performance optimization, CI/CD adoption, and production support.
Required Skills
- Strong hands-on experience with AWS (S3, Glue, Lambda, IAM, CloudWatch)
- Apache Spark (PySpark/Scala) and Big Data ecosystem
- Databricks exposure (mandatory)
- HBase (strongly preferred)
- Python or Java, Advanced SQL
- ETL/ELT development and Data Warehousing concepts
- Apache Airflow or similar orchestration tools
- Git, CI/CD, Performance Tuning, and Data Quality
Good to Have
- Kafka / Spark Structured Streaming
- Hive, Impala, Hadoop ecosystem
- Delta Lake / Lakehouse concepts
- Snowflake or other modern cloud data platforms
Experience Required
- 8–14 years of Data Engineering experience with strong AWS implementation expertise.
- Proven experience leading technical delivery and mentoring engineering teams.
- Strong understanding of enterprise-scale data platforms and Big Data architectures.
- Ability to collaborate with architects, stakeholders, and cross-functional teams to deliver scalable solutions.
NOTE: Final Technical round is mandatory to be taken F2F from Pune, office.
Shubham Vishwakarma
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About Wissen Technology
About
The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains.
With offices in US, India, UK, Australia, Mexico, and Canada, we offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services.
We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!).
Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world.
Wissen Technology has been certified as a Great Place to Work®. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.
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