Data Engineer(Apache Spark, Kafka, Java, And SQL, 5+yrs) Novastrid
Novastrid
Office Location
Full Time
Experience: 3 - 3 years required
Pay:
Salary Information not included
Type: Full Time
Location: Hyderabad
Skills: Apache Spark, Kafka, Java, SQL, Python, Scala, aws, Azure, GCP, Git, NoSQL, MongoDB, cassandra, DynamoDB, Docker, Kubernetes, cicd
About Novastrid
Job Description
Job Description 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. 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,