Novastrid-Data Engineer

17 hours ago

Hyderabad, Telangana, India Nexthire Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Role-Data Engineer

Experience- 5+yrs

Location- Hyderabad

Mode of work-Hybrid

Relevant experience-Data Engineering / Big Data/Apache Spark/Kafka/Advanced SQL/Java (production-grade experience

Role & responsibilities


• Design and implement scalable, high-performance batch and real-time

data pipelines using Apache Spark, Kafka, Java, and SQL


• Build and maintain ETL/ELT frameworks handling structured, semi-

structured, and unstructured data


• Work on streaming data solutions using Spark Structured

Streaming and Kafka


• Develop and optimize data models, implement data warehousing

solutions on AWS / Azure / GCP


• Automate and orchestrate workflows using Apache Airflow, DBT,

or equivalent tools


• Collaborate with cross-functional teams (Data Science, Product,

Engineering)


• Monitor, troubleshoot, and ensure reliability of data systems


• Follow best practices in data governance, security, and cloud cost

optimization

Preferred candidate profile


• 3 to 8 years of hands-on experience in Data Engineering / Big Data

Development


• Strong expertise in:


• Apache Spark


• Kafka


• Java (production-grade experience)


• Advanced SQL


• Python/Scala (optional but a plus)


• Experience with cloud platforms (AWS / Azure / GCP)


• Familiarity with Git, CI/CD pipelines, and modern data ops practices

Good to Have


• Experience with NoSQL (MongoDB, Cassandra, DynamoDB)


• Exposure to Docker, Kubernetes


• Domain experience in Banking / FinTech / Financial Services

Educational Qualifications


• Bachelor's or Masters degree in Computer Science, Information

Systems, Data Engineering, or a related field

Novastrid is hiring an experienced Data Engineer for a leading Tier-1
company in Hyderabad. If you're passionate about building robust, scalable
data systems and working with cutting-edge big data technologies, this is
your opportunity to work with one of the best in the industry.

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