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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.
A Databricks Data Engineer role involving hands-on data engineering with Apache Spark, Databricks, Python/Scala, ETL pipelines, data warehousing, and cloud services (AWS/Azure) for large datasets.
Build and maintain data pipelines, storage (including vector databases), and a metrics layer to power AI agents for customer support data, using big data tools, Python/PySpark, and cloud data warehouses.
Data Analyst/Data Engineer designing analytics architecture, managing databases, writing SQL queries, and automating Power BI reports for stakeholders.
GCP Data Engineer building scalable batch and real-time data pipelines on Google Cloud Platform, supporting AI/ML and analytics use cases with BigQuery, Dataflow, Python, and SQL.
Design, develop, and optimize scalable GCP-based ETL workflows and data pipelines using Python, Cloud Composer, Dataproc, and Pub/Sub.
Design, build, and govern enterprise-scale cloud data platforms (Databricks, Snowflake, Microsoft Fabric) using Python, C#, and PowerShell, leading architecture, governance, MDM, and integration efforts.
Google Data Engineering role at TCS focused on ensuring Vertex AI platform availability, secure exposure of public models, and infrastructure automation using Terraform on GCP.
Senior Data Engineer building and supporting enterprise data infrastructure using PySpark, AWS (Glue, Lambda, S3, Redshift), and Apache Airflow, with production operations and team mentorship responsibilities.
AWS Data Engineer designing data strategies, building big data solutions on AWS/Spark/Hadoop, programming in Scala/Python/Java/SQL, and tuning Spark for billion-record processing.
GCP Data Engineer at TCS Chennai responsible for developing, deploying, monitoring, and optimizing batch ETL workflows using Scala, PySpark, Airflow, BigQuery, and Dataproc on GCP with Medallion architecture experience.
Design and develop data pipelines and architectures using AWS, Databricks, PySpark, Kafka, and Airflow, working with SQL/NoSQL databases, shell scripting, and data integration techniques in complex, deadline-driven projects.
GCP Data Engineer at TCS responsible for building and maintaining data pipeline architecture using BigQuery, Pub/Sub, Dataflow, and Airflow, with strong SQL and Python skills for data migration and transformation.
Azure Data Engineer role at TCS in Bengaluru, working with Databricks, PySpark, Azure Data Factory, ADLS, and DevOps.
Design, develop, and maintain GCP data pipelines and data warehousing solutions using BigQuery, Dataflow, Cloud Composer, and Cloud Storage while ensuring data governance and cost optimization.
An Azure Fabric Data Engineer role focusing on building data solutions using Azure Databricks, Data Factory, PySpark, and SQLDB, requiring DP-203 and Databricks certifications.
Design, develop, and maintain scalable data pipelines and ETL/ELT solutions on GCP using DBT, Terraform, SQL, and large-scale processing frameworks like Spark/Beam/Hive.
Senior Data Engineer (Tech Lead) designing, building, and governing enterprise-scale cloud data platforms using Databricks, Snowflake, or Microsoft Fabric, with expertise in data architecture, integration, governance, and leading cross-functional teams.
Big Data Engineer responsible for developing and optimizing queries using Hadoop, HIVE, PySpark, and Spark SQL within a big data ecosystem.
GCP Data Engineer building scalable, AI-ready data pipelines and cloud-native data solutions on Google Cloud Platform, collaborating with enterprise architects and analytics teams on large-scale data modernization initiatives.
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