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Vmway, an Italian ICT company, seeks a Data Engineer/BI & ETL Developer (3+ years experience) to join its data platform evolution team fully remote. Day to day involves ELT data transformation, data modeling, and optimizing data pipelines, plus BI work.
VMWay is hiring a Data Engineer / BI & ETL Developer (3+ years of experience) in Italy to build ELT solutions, design data models, and manage data pipelines, improving their quality, reliability, and scalability. Core stack includes advanced SQL, dbt, BigQuery, and Airflow.
Senior/Lead Data Engineer at SkillSherpa, a Swiss workforce-analytics and human capital intelligence company. Day to day: designing and running the Google Cloud data platform, building ETL/ELT pipelines with Cloud Composer, BigQuery and Python, defining warehouse architecture, and ensuring data quality, security and cost efficiency while mentoring the team.
Analyze healthcare data, build BI reports & dashboards, collaborate with stakeholders using Tableau, SQL, Python, Snowflake, AWS, and other tools.
Build and maintain data pipelines and models to transform HR data into clean, analytics-ready datasets for workforce insights and decision-making.
Lead Grupo Aspasia's data engineering function from scratch: design the data architecture (ingestion → Snowflake → dbt → Power BI), build and manage the team, and deliver governed, reliable pipelines integrating sources like Salesforce, Moodle, ERP and ad platforms. Needs ~4-7 years in data engineering with some team leadership.
Data Engineer at atmira in Valencia building and maintaining data ingestion and ETL/ELT pipelines on AWS: processing data in Amazon S3, modeling tables and datamarts in Amazon Redshift, writing SQL queries and procedures, and supporting deployments, code reviews and backlog work. Stack includes Python, PySpark/Spark, Talend and Power BI.
Build and run a Microsoft Fabric-based data platform (Medallion architecture) for publishing group C.H.BECK in Munich: develop automated ELT pipelines integrating ERP, CRM and marketing data, model semantic models in Power BI, and ensure data quality and governance using SQL, Python, Spark, dbt and AI-assisted tooling. Hybrid full-time role.
Senior consulting mission in Monaco leading a Data platform and driving Data Science/AI use cases, managing a team of ~10 Data Engineers, Data Scientists, ML Engineers and AI Engineers. Core focus: data governance, MLOps and AI industrialization (GenAI, RAG, LLMs), cloud cost optimization (FinOps) and GDPR/AI Act compliance.
The Data Engineering Lead (BI Analytics & DWH) designs scalable BI and data warehouse solutions, builds ETL pipelines and data models, and develops interactive Power BI/Tableau dashboards. Core stack includes SQL Server/SSIS, Python, Azure Databricks, and cloud warehouses, while mentoring junior BI developers.
Senior data & integration engineer with 7+ years of experience building scalable data pipelines, ETL/ELT workflows, and API integrations. Day to day, they develop optimized SQL, integrate data from REST/Microsoft Graph APIs, and deliver cloud data solutions on Azure or AWS to support AI, automation, and enterprise data initiatives.
TCS is hiring an Azure Data Engineer in Chennai to design, build, and optimize scalable data pipelines and ETL/ELT workflows using Azure Data Factory, Databricks, Synapse, ADLS, and SQL, with transformation work in PySpark, Python, and Spark. Requires 5+ years of experience; interview is face-to-face.
Senior (7–8+ yrs) data engineer role in Bangalore acting as an Azure Databricks subject-matter expert: building ETL/ELT pipelines with PySpark, Python, SQL and Scala on Delta Lake/Medallion architecture, using ADLS Gen2, Azure Data Factory, Databricks Workflows/DLT/Structured Streaming, Unity Catalog, and Azure DevOps CI/CD.
Senior Azure Data Engineer (6+ years) in Chennai who designs, builds, and maintains scalable ETL/ELT data pipelines and large-scale data processing on Azure, working day to day with Python, PySpark, Azure Databricks, and Snowflake, with emphasis on performance tuning, data quality, and governance.
Full-time Data Engineer role in Bangalore with 3-4 years of experience building ETL/ELT data pipelines on Azure Databricks. Day-to-day work involves PySpark, Python, SQL, Delta Lake (Medallion Architecture), ADLS Gen2, Azure SQL, ADF, and CI/CD via Azure DevOps.
Data Engineer on Chargebee's Data Platform team, building and maintaining scalable data pipelines covering ingestion, distributed processing, transformation, and serving for internal analytics and customer-facing data features. Core stack: Apache Spark, Kafka, SQL, Java/Python/Scala, relational databases, and AWS.
Lead Data Engineer at Experion Technologies in Kerala, India, designing and maintaining scalable ETL/ELT pipelines on the Azure data platform. Day-to-day work centers on Azure Data Factory, advanced T-SQL and SQL Server development/administration, performance tuning, and production support within Agile teams.
A junior data engineer role in Bangalore (on-site, full-time) building and supporting Azure cloud data pipelines: ingestion, ETL/ELT, and transformations with Azure Databricks, PySpark, SQL, and Python, using Delta Lake, Medallion Architecture, ADLS Gen2, and CI/CD via Azure DevOps. Requires 2–3 years of hands-on project experience.
Lead Data Engineer at Coforge building and maintaining scalable ETL/ELT pipelines, DBT models, and cloud-based data workloads (GCP preferred). Core stack is DBT, Python, PySpark, SQL, and data modeling; requires 8-10 years of experience on-site in Greater Noida, Pune, or Hyderabad.
Remote-India Lead Data Engineer role (via IT consulting firm Dautom) designing and maintaining ETL/ELT pipelines for a corporate banking / credit-risk data platform. Core stack: SQL, Python, Spark, Azure Data Factory, Azure Databricks, and Cloudera/Hadoop, with 8+ years of data engineering experience required.
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