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Senior Data Engineer building data pipelines and ETL workflows on AWS and Databricks, working with big data technologies like Spark, Snowflake, and Airflow in a media-domain context.
Design, develop, and optimize big data ETL pipelines using Apache Spark and Databricks on Azure cloud, while collaborating with analysts and implementing CI/CD and security best practices.
Data Engineer building and scaling enterprise-grade data pipelines and streaming architectures using Scala, Apache Spark, SQL, Apache Kafka, and cloud platforms (GCP/AWS/Azure).
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.
Build and maintain web scrapers for alternative datasets, clean and transform data using Python/Pandas, and ingest it into databases/warehouses with Airflow scheduling—supporting an asset management firm's investment decisions.
Senior AWS Data Engineer building data lake and database solutions on AWS (Glue, Lambda, Redshift, S3, Kafka), integrating multi-channel campaign platforms like Adobe Campaign and Salesforce Marketing Cloud for Omnicom's marketing technology delivery team.
Lead Data Engineer architecting scalable data pipelines and ELT processes using Databricks, Apache Spark, and Delta Lake, while mentoring a team of engineers at a data-focused technology services company.
Senior Data Engineer building secure, automated, scalable GCP data pipelines using Python, Apache Airflow, Apache Druid, and Spark for a global ad-tech DSP platform.
Data Engineer designing and maintaining scalable data pipelines using dbt Cloud, Apache Airflow, and GCP BigQuery for a Big 4 firm in the Financial Services domain.
Databricks-focused Data Engineer/Solution Architect embedded in client teams to architect, build, and optimize enterprise Databricks Lakehouse platforms using Medallion Architecture, Spark, Delta Live Tables, Unity Catalog, and CI/CD pipelines across multiple concurrent engagements.
Senior Data Engineer leading enterprise-scale data engineering initiatives, designing data warehouses and data lakes on AWS, and building ETL/ELT pipelines with PySpark, Apache Airflow, and SQL.
GCP Data Engineer designing, developing, and optimizing scalable cloud-based data pipelines using Google Cloud Platform, BigQuery, DBT, and Apache Airflow. The role requires 5+ years of experience in data engineering and expertise in building ELT/ETL pipelines.
Senior Data Engineer building data reconciliation frameworks and ETL/ELT pipelines to ensure financial data integrity across multiple systems, primarily using SQL and data warehousing technologies.
Senior Data Engineer designing, building, and optimizing scalable ETL/ELT pipelines using PySpark, SQL, and Python, with a strong emphasis on Dataiku (DataIQ) integration and cross-functional stakeholder collaboration.
Senior Data Engineer building scalable GCP data pipelines end-to-end—from design through production support—using BigQuery, Python, SQL, Cloud Composer/Airflow, Dataflow/Apache Beam, and Dataform/dbt.
Design and operate distributed, high-throughput data acquisition pipelines that ingest public financial disclosures from thousands of global sources using Python, async frameworks, and cloud infrastructure.
Senior Data Engineer building scalable data platforms on Azure using Scala and Spark, handling data ingestion, transformation, and analytics enablement for a digital transformation consultancy.
Senior Data Engineer designing, developing, and maintaining scalable ETL/ELT data pipelines and cloud-based data integration solutions using AWS or Azure, SQL, and Python.
Senior Data Analytics Engineer designing and maintaining the full analytics data layer—building scalable ETL pipelines, managing BigQuery warehouses, and creating visualizations using GCP (BigQuery, Cloud Composer, Dataflow, PubSub), Python, SQL, and Airflow.
Build and maintain scalable data pipelines using Spark, Scala, Airflow, and Azure Databricks in a hybrid role based in Bengaluru. Work with modern data lakehouse technologies, containerization, and CI/CD practices.
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