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Data Engineer building scalable ETL pipelines on GCP using BigQuery, Dataflow (Java), Airflow, Python, and SQL in a hybrid role across multiple Indian cities.
Senior Data Engineer building orchestrated data pipelines using DBT, Airflow, Azure Databricks, SQL, Python, and PySpark for a healthcare fintech company specializing in supplemental benefits and flex cards.
Lead the design and development of scalable data processing applications using Python, PySpark, Databricks, AWS, and Kafka—90% hands-on engineering with 10% team mentoring.
Data Engineer role at TCS Noida working with Azure Data Factory, Databricks, Python, SQL, Snowflake, and Denodo to build and manage data pipelines and solutions.
Data Engineer building scalable batch and streaming data pipelines on AWS Cloud using Databricks, Airflow, Python, PySpark, and Kafka at a TCS Bangalore office.
Data Engineer at Infosys Consulting building and maintaining data pipelines and scalable solutions on Azure, collaborating with AI consultants and cross-functional teams in the Advanced Analytics practice.
Lead/Senior Data Engineer designing and managing enterprise-scale data platforms across Azure and AWS, building ETL/ELT pipelines, lakehouse architectures, and Snowflake data warehouses using Databricks, Delta Lake, PySpark, and SQL.
GCP Data Engineer at TCS building and maintaining GCP-based big data pipelines (batch and realtime) using BigQuery, Airflow, Dataflow, DataProc, and Python/PySpark across India.
AWS Data Engineer building and maintaining data pipelines using AWS, Databricks, PySpark, Airflow, and Kafka, with SQL and shell scripting.
Data Engineer (Azure Databricks Developer) with 7+ years experience designing and maintaining scalable data pipelines using Azure Databricks, developing ETL/ELT processes, building Spark-based applications, and ensuring data security and governance.
Design and develop scalable ETL data pipelines using Azure Databricks, Data Factory, and Data Lake, writing SQL/Python/PySpark code for data processing and transformation.
Data Engineer role developing applications in AWS and Python, working with various AWS services including Lambda, SQS, S3, DynamoDB, and others. Requires strong understanding of REST APIs and maintaining existing applications according to enterprise best practices.
Azure Data Engineer building and supporting data pipelines, ETL processes, and large SQL data marts using Azure Data Factory, Databricks, Synapse, and Python.
Design, build, and optimize scalable data pipelines and cloud data platforms on AWS using Python, PySpark, and services like Glue, EMR, S3, Redshift, and Athena.
Senior Java Backend Engineer building scalable microservices and event-driven systems using Java/Spring Boot/Kafka, with hands-on GenAI/LLM integration and DevOps tooling.
Build and optimize compute-intensive React web applications, partner with PM and Design teams on features, and develop backend API servers for seamless data delivery across the Arcana UI.
Director leading a Data & AI practice—combining executive leadership, solution architecture, pre-sales consulting, and delivery oversight across AI/ML, Generative AI, analytics, and cloud platforms (AWS, Azure, GCP).
Senior Data Architect at a supply-chain SaaS platform, responsible for designing enterprise data models, building scalable ETL/ELT pipelines, and translating complex customer ERP data into canonical supply-chain datasets using SQL, Python, and cloud lakehouse technologies.
As a Data Centre Provisioning Engineer, you will be responsible for supporting the deployment, activation, and operational excellence of hyperscale data centre network infrastructure. You will collaborate with…
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.
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