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
Fintech • Legal Tech • Software • Financial Services • Cybersecurity • Data Privacy
Manage end-to-end fund accounting for Luxembourg real estate fund structures, including NAV calculations, capital accounts, management fees, and real estate transaction recording. Support month/quarter/year-end closes, investor reporting, capital calls, distributions, audits, and regulatory reporting (AIFMD/CSSF). Coordinate with AML/KYC, transfer agency, legal, administrators, auditors, and valuers. Drive process improvements and support system automation.
Top Skills:
Accounting SystemsExcel
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Senior Salesforce Engineer responsible for designing and building Salesforce solutions: develop Apex, triggers, Lightning Web Components, Aura, and Visualforce; build and modernize integrations and platform experiences; lead Quote-to-Cash implementations; troubleshoot production (L3) issues; follow CI/CD and deployment best practices; participate in Agile ceremonies; monitor org performance and advocate Salesforce best practices.
Top Skills:
AgentforceAgenticApexAuraCopadoData CloudLightning Web ComponentsLwcQuote-To-CashSalesforceSlackVisualforce
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
