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
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead and grow engineering teams building large-scale AI/ML platform infrastructure (model serving, training, feature stores). Drive technical strategy, deliver complex backend systems to production, partner with product and stakeholders, uphold high engineering and operational standards, and coach engineers for career growth.
Top Skills:
Backend PlatformsDistributed SystemsFeature StoresGpu-Accelerated Model ServingLlmsTraining And Data Access Infrastructure
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Manage large enterprise accounts to retain and expand Atlassian product usage. Build and sustain senior/executive relationships, lead high-value renewals and complex sales cycles, forecast owned book of business, identify and mitigate customer risk, collaborate with Sales and channel partners, and use data and product knowledge to discover expansion opportunities.
Top Skills:
Atlassian ProductsClariSalesforceTableau
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
