Design, build, and maintain scalable batch and real-time data pipelines, ETL/ELT workflows, data warehouses and lakes. Ensure data quality, performance, and reliability; integrate data from multiple sources; collaborate with Data Science and ML teams; implement monitoring, validation, and CI/CD; and contribute to the evolution of the data platform and architecture.
Hypersonix.ai is disrupting the e-commerce space with AI, ML and advanced decision capabilities to drive real-time business insights. Hypersonix.ai has been built ground up with new age technology to simplify the consumption of data for our customers in various industry verticals.
We are looking for a skilled and motivated Data Engineer to design, build, and maintain scalable data pipelines and data infrastructure. You will work closely with Data Science, Engineering, and Product teams to ensure high-quality, reliable, and accessible data for analytics, machine learning, and business applications.
Roles and Responsibilities
We are looking for a skilled and motivated Data Engineer to design, build, and maintain scalable data pipelines and data infrastructure. You will work closely with Data Science, Engineering, and Product teams to ensure high-quality, reliable, and accessible data for analytics, machine learning, and business applications.
Roles and Responsibilities
- Design, develop, and maintain scalable data pipelines for batch and real-time data processing.
- Build and optimize ETL/ELT workflows to collect, transform, and load data from multiple sources.
- Develop and maintain data models, data warehouses, and data lakes.
- Ensure data quality, consistency, accuracy, and reliability across data pipelines.
- Optimize data processing workflows for performance, scalability, and cost efficiency.
- Work with large and complex datasets from multiple sources.
- Collaborate with Data Scientists and ML Engineers to prepare and deliver high-quality datasets for machine learning models.
- Develop data integrations with APIs, databases, cloud platforms, and third-party systems.
- Monitor data pipelines and troubleshoot data processing and infrastructure issues.
- Implement data validation, monitoring, and testing frameworks.
- Maintain clear documentation of data pipelines, data models, and technical processes.
- Follow best practices for data security, governance, and access control.
- Contribute to the design and evolution of Hypersonix's data platform and architecture.
- 5–7 years of experience in Data Engineering or a similar role.
- Strong programming skills in Python or another programming language.
- Strong experience with SQL and relational databases.
- Hands-on experience building ETL/ELT pipelines and data workflows.
- Experience with data processing technologies such as Spark/PySpark.
- Experience working with cloud platforms such as AWS, Azure, or GCP.
- Good understanding of data warehousing and data lake concepts.
- Experience with workflow orchestration tools such as Airflow, Dagster, or similar.
- Experience working with distributed systems and large-scale datasets.
- Strong understanding of data modeling, database design, and performance optimization.
- Familiarity with Git and CI/CD practices.
- Good understanding of software engineering principles and coding best practices
Similar Jobs
Analytics
Build, optimize, and maintain scalable AWS-based data pipelines and data lakes (Snowflake/Databricks). Implement streaming ingestion (Kinesis/Kafka), CDC, automated data quality checks, and ML-ready feature stores. Collaborate with Product, ML, and Analytics teams, own pipeline QA, observability, and participate in on-call rotations to resolve production data issues.
Top Skills:
Apache IcebergAWSAws BedrockAws GlueAws KinesisAws S3Aws SnsAws SqsAws Step FunctionsDatabricksDatabricks AiDatabricks WorkflowsDebeziumDelta LakeFeature StoreFivetranKafkaParquetPysparkPythonSnowflakeSnowflake CortexSQL
Big Data • Cloud • Software • Database
Lead and manage a regional Builder Relations team in APAC, driving developer and customer engagement through schema design reviews, live enablement sessions, content creation, and collaboration with Sales and Marketing. Mentor team members, measure business impact, and scale developer enablement programs while advocating MongoDB adoption and AI-native solutions.
Top Skills:
AIAWSDocument DatabasesGCPAzureMongoDBMongodb Atlas
.png)
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Design and implement a unified orchestration layer coordinating vendor and internal LLMs and human agents. Build production-grade Python services, drive ML projects from design to delivery, ensure secure, scalable AI-enabled customer experiences, and collaborate across teams to meet security, compliance, and performance standards.
Top Skills:
Aws BedrockDeep LearningGoogle AdkLanggraphLangsmithLlmsPythonVertex Ai
What you need to know about the Hyderabad Tech Scene
Because of its proximity to leading research institutions and a government committed to the city's growth, Hyderabad's tech scene is booming. With plans to establish India's first "AI city," the city is on track to become one of the world's most anticipated tech hubs, with companies like TransUnion, Schrödinger and Freshworks, among others, already calling the city home.
