Data Engineer

Data Engineer

Design, build, and maintain robust data pipelines and engineering workflows using SQL, Python, and Databricks. Support critical initiatives including data ingestion, process automation, transformation, and data quality assurance.

Data Engineer

Design, build, and maintain scalable data pipelines and infrastructure for batch and real-time data processing. Collaborate with cross-functional teams to ensure high-quality, reliable, and accessible data for analytics and machine learning applications.

Data Engineer

The Data Engineer will design, develop, and maintain scalable ETL pipelines and data storage solutions to support client data needs. They will collaborate with cross-functional teams to ensure high-quality data delivery while adhering to Agile development practices.

Data Engineer

Design, develop, and maintain scalable data pipelines and ingestion strategies using Snowflake, Python, and PySpark. Collaborate with cross-functional teams to implement data quality rules, governance, and security across all storage layers.

Data Engineer

Build and maintain scalable ETL/ELT pipelines and real-time data streaming solutions using AWS and Kafka. Manage data warehouse optimization in Redshift and ensure data quality and observability through automated checks.

Data Engineer

Design, develop, and optimize scalable data integration pipelines and ETL/ELT processes using the Azure ecosystem and Microsoft Fabric. Partner with stakeholders to translate business requirements into reliable data engineering solutions and support the migration of legacy on-premises systems to the cloud.

Data Engineer

Design and maintain scalable AWS data platforms and pipelines for batch and streaming workloads. Implement data governance, normalization workflows, and knowledge graphs to support analytics and AI/ML use cases.

Data Engineer

The Data Engineer will design, build, and optimize ETL/ELT workflows and develop scalable data pipelines. They will also collaborate with cross-functional teams to deliver impactful data solutions.

Microsoft Fabric Developer / Data Engineer

Design, develop, and maintain scalable data pipelines and modern data solutions using Microsoft Fabric and Azure technologies. Collaborate with cross-functional teams to translate business requirements into technical data models and optimized analytics workflows.

Data Engineer - Contractor

The role involves designing, building, and automating scalable data platforms using Databricks and Microsoft Fabric. You will also lead data engineering activities, including pipeline development, data quality validation, and the implementation of security and governance standards.

DE&A - Sr. Data Engineer - Databricks

Design, develop, and maintain scalable ETL/ELT pipelines on Databricks using PySpark, Spark SQL, and Delta Lake. Collaborate with cross-functional stakeholders to implement data governance, optimize performance, and mentor junior team members.

Associate Data Engineer

The Associate Data Engineer is responsible for designing, developing, and maintaining data pipelines and warehouses to support business intelligence reporting. They will manage ETL jobs, validate data models, and collaborate with stakeholders to ensure accurate data delivery.

Data Engineer - Senior

Leads the design, development, and maintenance of scalable data and analytics platforms using distributed processing solutions. Collaborates with cross-functional teams to implement data governance, security, and high-performance ETL/ELT pipelines.

Senior Data Engineer

You will design and implement automated testing, CI/CD guardrails, and data quality controls to ensure the reliability of reporting products. Additionally, you will mentor engineers, lead root-cause analysis for incidents, and enforce engineering standards across the reporting stack.

Software Engineer (Data Systems/ETL)

The software engineer will monitor and optimize the billing engine and its associated ETL data pipelines to ensure reliability and performance. Additionally, the role involves supporting broader platform efforts including GraphQL interfaces, cloud security, and containerized service maintenance.

Data Engineer - Data Platform

You will build and maintain scalable data pipelines that integrate LLMs for extraction, enrichment, and validation of billions of records. You will also own the reliability, cost management, and observability of these systems, ensuring downstream consumers can trust the data.

Staff Engineer, Data governance

The Staff Engineer will lead the HR Data Governance strategy, developing data quality processes and AI-driven detection mechanisms. They will also manage metadata, data lineage, and reporting to ensure data integrity and drive maturity across the organization.

Staff Engineer, Data governance

The role involves delivering the HR Data Governance strategy, developing data quality processes, and utilizing AI for proactive issue detection. You will also manage metadata, data lineage, and report on key performance indicators to senior leadership.

Software Engineer (Data Systems/ETL)

The role involves collaborating with business analysts to define requirements and producing technical specifications, code, and unit test plans. You will be responsible for maintaining coding standards, meeting project timelines, and owning key software features or modules.

Software Engineer, Data Infrastructure and Acquisition

Design and maintain data acquisition infrastructure while building AI-powered, self-healing scrapers for public data. Develop resilient pipelines and agentic workflows to ensure data accessibility and system observability.

Lead Data Engineer (GenAI / LLM Applications)

Design, develop, and maintain scalable data pipelines and software architectures to support clinical trial operations. Integrate LLM-powered solutions and ensure data quality, governance, and reliability across analytical systems.

Software Engineer, Data Infrastructure & Acquisition - Ahmedabad, India

The role involves managing data collection and ingestion pipelines to support AI model training at scale. You will collaborate with scientists and leadership to optimize data infrastructure and define the dataset roadmap.

Software Engineer, Data Infrastructure & Acquisition - Mumbai, India

The role involves managing data collection and ingestion pipelines to support AI model training at scale. You will collaborate with scientists and leadership to optimize infrastructure and define the dataset roadmap for future products.

Software Engineer, Data Infrastructure & Acquisition - Noida, India

The role involves managing data collection and ingestion pipelines to support model training operations at scale. You will collaborate with scientists to optimize data quality, throughput, and cost while shaping the AI team's dataset roadmap.

Junior Data Engineer

You will assist in building and maintaining data pipelines while writing and optimizing SQL queries to support business analytics. Additionally, you will collaborate with teams to ensure data quality and document technical workflows.

Hiring || Senior ETL Testing/ Data Engineer - Remote

Design and implement scalable ETL and ELT processes using GCP services to ensure high data availability and performance. Manage data workflows with Apache Airflow and maintain data warehousing solutions across various platforms.

Senior Software Engineer, Data Platform

You will own and drive impactful distributed systems problems end-to-end, from inception through production launch. You will also collaborate with the engineering team to prioritize projects and mentor other engineers to raise the overall quality bar.

Principal Engineer - Data Platform

The Principal Engineer will lead the design and implementation of scalable data platform solutions to support organizational needs. They will collaborate with cross-functional teams to ensure high-quality data infrastructure and drive technical excellence across the platform.

Software Engineer, Data Infrastructure & Acquisition - Bangalore, India

The role involves managing data collection and operating cloud infrastructure to support large-scale model training operations. You will collaborate with scientists and leadership to develop dataset roadmaps and optimize ingestion pipelines for cost and quality.