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Data engineer working hands-on with Google Cloud Platform to build and optimize data pipelines — advanced BigQuery SQL, Terraform for IaC, Cloud Composer/Airflow orchestration, and dbt modeling, plus Docker, Python and SQL. Based on-site in Bangalore, India.
Senior Full Stack Developer — B2B Pipeline About the Role We are looking for a Senior Full Stack Developer to join our team and take ownership of key modules within our B2B pipeline. This role is ideal for a hands-on…
Company Description Mother‘s Hut is an emerging organization committed to delivering high-quality digital solutions that cater to diverse business needs. We focus on innovation, technical excellence, and customer…
Owns the architecture, engineering, operations, and security of Alkem's on-premise data centers and enterprise networks — including SD-WAN, wireless, remote access, and plant/OT connectivity — across offices, manufacturing plants, warehouses, and international sites. Core stack: TCP/IP routing & switching (BGP/OSPF), SD-WAN/MPLS, firewalls, SASE, NAC, DNS/DHCP/IPAM, and network monitoring.
Dinoxo, a staffing firm, is hiring a permanent Data Analytics Engineer (3+ years' experience) for one of its direct clients in Bangalore on a hybrid model. The day-to-day work centers on SQL, Power BI dashboards, data modeling, and cloud data platforms such as Snowflake for data warehousing and integration.
An experienced data engineer (7-9 yrs) who builds and maintains data pipelines and validation frameworks to ensure the company's AI agents produce accurate, reliable, and compliant outputs. Day to day involves automated quality checks, monitoring, and output analysis using AWS (S3, Glue, Athena, EMR, Lambda), Snowflake, Python, SQL, Kafka, and Airflow.
Senior GCP data engineer (recruited by EliteRecruitments for a Big 4 firm) based in Bangalore who architects, builds, and optimizes BigQuery-centered data platforms. Day to day: SQL/Python pipeline development, data modeling, governance, mentoring juniors, plus pre-sales demos and end-to-end delivery of analytics projects.
Senior Data Engineer at CIBC India's Hyderabad hub who designs, builds, and maintains scalable cloud data pipelines and analytics solutions for the bank. Core stack includes Azure Data Factory, Azure Databricks, Power BI, Unity Catalog, and large-scale data processing with Python, PySpark, and SAS.
Senior Data Engineer (6-8 yrs) who designs, builds, and maintains large-scale data pipelines and cloud data infrastructure on Google Cloud Platform, integrating data from web/mobile apps including React-based systems and Firebase into BigQuery and data warehouses. Based in Pune; immediate joiners preferred.
Data Engineer at CIBC's Hyderabad technology hub who designs, builds, and maintains scalable cloud data pipelines and analytics solutions on the Azure stack — Azure Data Factory, Databricks, Power BI — using Python, PySpark, and SAS, applying data modeling, unit testing, and data mesh/lakehouse architecture. Requires 5+ years of experience.
Data Engineer on Styli's Data Platform team in Bangalore, building and maintaining batch and real-time e-commerce data pipelines, warehouse models on BigQuery, and data quality/observability tooling. Core stack: SQL, Python, Apache Airflow, dbt, Kafka, GCP/AWS.
Data engineer with 3-7 years' experience for an MNC client in Hyderabad, focused on migrating legacy Data Lake/Big Data platforms to Snowflake/Lakehouse environments. Day-to-day work centers on SQL, Python/Java, Spark/PySpark, AWS-hosted data lakes, data quality/reconciliation, and performance optimization.
Builds and supports cloud-based data integration solutions for a client initiative using Informatica IICS (CDI/CAI), creating and testing mapping tasks, task flows, and secure agent setups, with complex SQL and RDBMS work. Role is onsite/offshore based in Cochin, Thiruvananthapuram, or Bengaluru with immediate onboarding.
Title: Senior Data Engineer Location: Chennai Work Mode: Hybrid Job purpose We are seeking an experienced Data Engineer to support a large-scale Global Capital Markets platform-modernization program. The role focuses…
Senior Data Engineer in Bangalore building data ingestion pipelines from sources like SAP, SharePoint, SQL databases, APIs, and Salesforce using Databricks, Azure Cloud, PySpark, Python, and SQL, with SAP S4/ECC/BW knowledge. Requires 5-8 years of experience and immediate availability.
An experienced Big Data Engineer who designs, builds, and tunes scalable data pipelines using PySpark and the Hadoop ecosystem (HDFS, Hive, Sqoop), writes large-scale SQL/HiveQL/PLSQL queries, and orchestrates workflows with Airflow or Oozie in an Agile team. Based in Pune or Nagpur, India, full-time, 6+ years of experience required.
Lead Data Engineer (9+ yrs) driving migration of a legacy Oracle EDW/Exadata warehouse to Google BigQuery and modern Lakehouse architecture. Day-to-day work spans building batch/real-time ETL/ELT pipelines with Spark, Python and Airflow, CDC replication from Oracle via GoldenGate/Kafka, DataOps automation with Terraform and CI/CD, and AI/LLM-augmented development in Bangalore/Hyderabad.
Senior backend/cloud engineer on a 6-month contract building C#/.NET backend services for a large insurance client's policy and claims system — roughly 65% Azure work (Function Apps, APIM, Service Bus, Event Grid, Key Vault, Cosmos DB), 25% .NET development and 10% SQL, within an Agile/Scrum team on US East Coast hours.
Backend engineer building and operating the Python backend for SalesAgents AI's multilingual AI voice sales agents — scalable APIs, databases, telephony systems, automations, and production infra on Docker/Kubernetes and AWS/GCP/Azure. Remote role from India, 0–5 years experience, at a fast-growing startup.
Senior fullstack developer owning end-to-end design, build, and scaling of a product's features — React on the frontend, Python/Django on the backend — with emphasis on scalability, performance tuning, and integrating AI/LLM capabilities for a Japan-based product IT company, working from their Bangalore office.
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