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Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design, build, and optimize data pipelines on Azure. Implement event-driven architectures and microservices, ensuring reliability and performance. Collaborate with teams to maintain SLAs and document solutions.
Top Skills:
Azure Data FactoryAzure DatabricksAzure FunctionsAzure Key VaultAzure PipelinesCi/CdDelta LakePysparkService BusSparkSQL
Artificial Intelligence • Consulting
Responsible for L2 technical support for data platforms, advanced troubleshooting, code-level fixes, and ensuring SLA compliance. Requires strong skills in Azure Data Factory, Databricks, SQL, and Python for performance tuning and data reliability.
Top Skills:
Azure Data FactoryAzure ServicesCi/Cd PipelinesDatabricksPythonSQL
Database • Analytics
Design, build, and optimize scalable data pipelines on Azure Databricks using PySpark, Spark SQL and Azure Data Factory. Manage Delta Lake/ADLS storage, ensure data quality, optimize Spark jobs, support analytics and ML teams, and deploy production solutions with governance and monitoring.
Top Skills:
Azure Databricks,Python,Sql,Apache Spark,Pyspark,Spark Sql,Azure,Azure Data Factory,Delta Lake,Adls Gen2,Parquet,Json,Csv,Git,Medallion Architecture
We are seeking a Data Engineer with expertise in Palantir Foundry to build scalable, normalized data models and pipelines. This role will drive data ingestion, transformation, and normalization while enabling visualization development in Power BI. The ideal candidate will work closely with the Product Manager, Data analysts, and key stakeholders to deliver clean, structured insights.
Key Responsibilities:
- Data Modeling and Normalization:
- Develop and implement scalable data models in Palantir Foundry.
- Normalize data from ERP systems (SAP, JD Edwards) to ensure cross-client consistency.
- ETL and Data Pipelines:
- Build and automate data ingestion pipelines to reduce manual intervention.
- Develop processes for cleaning, validating, and transforming large datasets.
- Visualization Development:
- Collaborate with analysts to design reusable Power BI dashboards and views.
- Ensure seamless integration of clean, normalized data into Power BI.
- Tool Integration:
- Integrate Cap IQ and other external datasets into Palantir pipelines.
- Optimize data workflows to accelerate the creation of industry-specific templates.
- Collaboration and Scalability:
- Work with the Product Manager and Data Analysts to align normalization rules and requirements, enabling modular and reusable data solutions.
- 7-10 years in data engineering
- Strong software engineering fundamentals to build high-quality pipelines
- Experience with Palantir Foundry (or similar big data platforms).
- Expertise in building ETL pipelines and automating data ingestion processes.
- Proficiency in data wrangling, normalization, and modeling.
- Hands-on experience with Power BI for creating dashboards and integrating data models.
- Strong SQL skills for data transformation and querying.
- Solid understanding of ERP data systems (SAP, JD Edwards) and attributes.
Nice-to-Have:
- Familiarity with Cap IQ APIs and integration processes.
What you need to know about the Kolkata Tech Scene
When considering the industries shaping India's tech scene, gaming might not immediately come to mind. However, in the last decade, increased internet usage and greater access to mobile devices have catapulted the industry to new heights, with Kolkata-based companies like Virtualinfocom, Red Apple Technologies and Digitoonz, at the forefront, driving the design and animation of new gaming titles for players.
