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InMobi Advertising is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business…
Lead Data Engineer designing and building scalable real-time and batch data platforms for supply chain workflows using Python, SQL, PySpark, and container orchestration tools.
Lead Data Governance Engineer at Mahindra establishing enterprise-wide data governance frameworks—data quality, metadata/catalog, lineage, security, and compliance automation—using tools like Collibra/Alation/Purview on cloud data platforms.
Lead Databricks Data Engineer to own data engineering workstream of a large-scale predictive analytics programme, architecting and leading production-grade data pipelines on Databricks, integrating SAP and Oracle systems into a governed lakehouse, and leading a small engineering team.
Lead enterprise data platform and analytics initiatives with a focus on Azure Data Factory, Databricks, PySpark, and GenAI/Azure OpenAI solutions, while providing technical leadership and mentoring.
Lead Data Engineer overseeing enterprise-scale ETL and data modernization projects, architecting pipelines with Python, PySpark, Informatica, Databricks, Snowflake, ADF, and AWS Glue while mentoring a team of data engineers.
Lead Data Engineer at IndusInd Bank in Mumbai, architecting and building a cloud-native Azure Databricks data platform with PySpark, leading a team of data engineers and analysts to deliver scalable lakehouse architectures and BI solutions.
Senior Data Engineer lead building complex ETL/ELT solutions on Azure Data Lake, Databricks, and ADF using SQL, PySpark/Scala, with Kafka-based real-time and batch ingestion at scale.
Lead Data Engineer designing and building scalable data pipelines and ETL/ELT architectures on cloud platforms using Apache Spark, SQL, and Python.
Technical Lead designing and building large-scale data pipelines on AWS and Databricks using Python, PySpark, Kafka, and Airflow, with 90% hands-on development and 10% mentoring.
Lead Data Engineer/Data Architect designing and implementing enterprise-scale cloud data platforms (Azure, AWS, or GCP), including data lakes, lakehouses, and warehouses using Python, SQL, and tools like Databricks, Snowflake, or Spark.
Lead Data Engineer architecting cloud-native data platforms (data lakes, lakehouses, warehouses) for PE portfolio companies, using tools like Databricks, Snowflake, Azure Synapse, dbt, and AI tooling to build AI-ready analytics infrastructure.
Lead GCP Data Engineer designing and deploying end-to-end data lake and analytics solutions on Google Cloud Platform for industrial and government sector clients, including pre-sales and proposal/bid work.
Lead Data Engineer designing and optimizing scalable ETL/ELT pipelines on Azure Databricks using PySpark, SQL, and Python, working with Delta Lake, ADLS, and Azure Data Factory.
Technical Lead for Data Engineers building and maintaining data pipelines using DBT Core and Amazon Redshift, with Airflow orchestration. Responsible for technical direction, code quality, and problem-solving across the data engineering pod.
Lead Data Engineer providing hands-on technical leadership for Oracle GoldenGate CDC replication solutions, moving data from on-prem/AWS to Azure Fabric with 10+ years of experience required.
Lead Data Engineer designing and maintaining large-scale data platforms, data lakes, and cloud solutions for a bank; builds ETL/ELT data pipelines using Snowflake, AWS, SQL, and tools like IBM DataStage and DBT to support enterprise data warehousing.
Lead Data Engineer designing and developing scalable batch and streaming data pipelines using Apache Spark, PySpark, and Databricks, with data modeling and integration responsibilities to support BI and analytics tools.
Lead Data Analytics Engineer defining, building, and evolving the analytics data layer (warehouses, pipelines, data products) on GCP using BigQuery, Cloud Composer, Dataflow, and Python/SQL, while establishing engineering best practices and mentoring data engineers.
Architect and maintain enterprise-grade ELT/ETL data pipelines using Python, PySpark, Kafka, and Databricks for large-scale banking risk data, while building GenAI agents and deploying microservices on Kubernetes/OpenShift.
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