Data Engineering Jobs in India

Open 15d APACFull-timeLead

Lead Data Engineer

Azure Cloud Cloud Native Data Governance Data Lake +16 skills

Leads development of scalable ETL/ELT data pipelines on Azure — using Databricks, PySpark, SQL, Delta Lake, and Unity Catalog — for an insurance benefits platform. Works across scrum teams on batch and real-time data processing, data governance, and modernization of legacy back-office systems.

Momentum Financial Services Group

Open 15d RemoteAPACContractLead

Lead Data Engineer

AI Analytics API AWS Azure +23 skills

A senior hands-on data engineer who designs and delivers scalable data pipelines and data products on a modern stack (Snowflake on AWS, Openflow/Apache NiFi, dbt, Python, SQL), while leading Data Operations support, mentoring, and coordinating India-based data colleagues.

MFSG Technologies (India) Private Limited

Open 15d RemoteAPACContractLead

Lead Data Engineer

AI Analytics API AWS Azure +23 skills

Senior hands-on data engineer who designs and delivers scalable data pipelines and data products on Snowflake (AWS), Snowflake Openflow (Apache NiFi), dbt, Python and SQL, while leading Data Operations (automated monitoring, incident response) and coordinating India-based data colleagues for Momentum/Money Mart's financial services business.

Recro

Data Engineer

AI Airflow Analytics Automation Azure +16 skills

Recro is hiring an Azure Data Engineer in Bengaluru (work from office) with 5+ years' experience to design, build, and optimize scalable enterprise data platforms and ETL/ELT pipelines using Hadoop/cloud technologies, Python/PySpark, advanced SQL, and DataOps practices including CI/CD and orchestration tools like Airflow, Oozie, or Jenkins.

Microsoft

Data Engineer II

Open 16d On-siteAPAC

AI Anomaly Detection API Automation Azure +25 skills

Overview Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place…

UST

Data Engineer | GCP | Big Data | 6+ Yrs | Immediate Joiners | Any UST Location

Airflow CI/CD Cloud Data Engineering Data Pipelines +2 skills

Data engineer at UST (Bangalore or any UST location) designing scalable, reliable data solutions and pipelines. Day to day involves Big Data processing, building pipelines orchestrated with Apache Airflow on GCP, and working with CI/CD/DevOps practices; requires 6+ years of experience.

Tata Consultancy Services

Azure Fabric Data Engineer

Agile Analytics Azure Azure Data Factory Azure Synapse +7 skills

Azure Data Engineer focused on building data solutions using Microsoft Fabric, PySpark, and Azure Data Factory. The role involves implementing Medallion architecture, migrating SQL stored procedures to PySpark, and managing data loads from on-premise warehouses to Fabric environments.

Insight Global

Data Engineer

Open 16d APACContract

Agile AWS Cloud Data Engineering Data Modeling +17 skills

Contract Data Engineer (6-8 months, hybrid in Pune) building and supporting enterprise data solutions for dealer systems: logical/physical data modeling, ETL/ELT pipelines with Qlik Replicate (Attunity), and SSIS production support. Core stack: Oracle, PostgreSQL, SQL Server, AWS (S3, Lambda), Snowflake, Python; work hours 2:00-11:00 PM IST.

Azure Data engineer

Analytics Azure CI/CD Cloud Data Engineering +10 skills

Recro is hiring an Azure Data Engineer in Bangalore (4.5+ yrs experience) to design, build, and maintain scalable data pipelines and ETL/ELT workflows on Hadoop and cloud platforms. Day-to-day work centers on Azure data engineering, optimized SQL, Python/PySpark, data modeling, DataOps automation, and CI/CD for production-grade data solutions.

Anson McCade

Senior Data Engineer (India - Remote)

Open 16d APACSenior

Agile Airflow Analytics Automation AWS +36 skills

Senior Data Engineer working remotely from India for a global strategy consulting firm, building and operating data platforms and pipelines for large enterprise clients. Hands-on work across the full data lifecycle using Python/Scala/Java-class languages, Airflow-style orchestration, SQL/NoSQL stores, AWS/Azure/GCP, Kubernetes, Terraform and CI/CD.

Barri Financial Group

Data Scientist/ AWS Data Engineer

API Athena AWS Aws Glue CDK +20 skills

Joins a fintech data science team to develop, deploy, and monitor ML models on AWS: packaging models in SageMaker, building Lambda/API Gateway inference flows and ETL pipelines (S3, Glue, Athena), and handling logging/monitoring with CloudWatch. Needs 1+ year of hands-on AWS plus strong Python and SQL.

Tenarai

Open 16d APACFull-timeSenior

Senior Data Engineer

Airflow API AWS Azure CI/CD +16 skills

Senior backend/data engineer (8+ years) who designs, migrates, and operates scalable batch ETL pipelines and data transformations using Apache Spark, Java, and Python, while also building REST APIs and CI/CD-driven deployment for reliable production data processing.

QntmLogic, LLC.

Data Engineer

QntmLogic is hiring a Data Engineer in Bangalore to build applications on big data platforms, including API development. The role combines traditional application development with analytics libraries, open-source NLP, and statistical/big data computing; immediate joiners are preferred (contract-to-hire).

Sr. Data Engineer(AWS)

Open 16d APACSenior

API Athena Automation AWS Aws Glue +22 skills

Senior Data Engineer at Trantor in Chandigarh, India, designing and optimizing AWS-based data platforms: building ETL/ELT pipelines with Glue and Step Functions, managing S3 data lakes, running Athena queries, exposing APIs via API Gateway/Lambda/ECS/EKS, and event-driven ingestion with SQS/SNS/EventBridge/Kafka/Kinesis.

GoodSpace AI

Data Engineer

AI Analytics Anomaly Detection API BigQuery +15 skills

Data engineer/scientist role in Mumbai building demand and sales forecasting, inventory optimization, and computer-vision models (fabric defect detection, garment grading) for textile/apparel operations, then deploying them across departments. Stack includes Python, SQL, TensorFlow/PyTorch, BigQuery/Spark, SAP integration, and Power BI/Tableau.

Wishlink

Data Engineer (1-2 Years)

AI Airbyte Analytics Android AWS +20 skills

Junior data engineer at Wishlink, a creator-led e-commerce startup in Gurugram, writing production SQL and Python ETL/ELT code, building and monitoring data pipelines, and growing into a Spark/PySpark and Databricks Lakehouse stack (Delta Lake, BigQuery, Airbyte, Power BI) while supporting analytics for product and business teams.

NationsBenefits India

Lead Data Engineer

Open 16d APACLead

Azure Cloud Cloud Native Data Governance Data Lake +16 skills

Leads building and optimizing scalable ETL/ELT data pipelines for an insurance benefits platform, modernizing legacy back-office systems into cloud-native architecture while working across scrum teams. Core stack: Azure Databricks, PySpark, Delta Lake, Unity Catalog, T-SQL, and Azure data services (ADF, ADLS Gen2, Azure SQL).

Tenarai

Data Engineer

Airflow API Automation AWS Azure +19 skills

Senior backend & data engineer (8–12 yrs) who designs, migrates, and owns scalable batch data pipelines and ETL workflows, and builds REST APIs tying data systems to backend services. Core stack: Java, Python, Apache Spark, with Git/CI-CD and optionally cloud data platforms and Airflow/Docker/Kubernetes.

AgilityDelivered

Senior Data Engineer

Open 16d APACSenior

Airflow Automation AWS Azure Azure Data Factory +15 skills

Senior Data Engineer at a DevSecOps consultancy, designing, building, and operating data pipelines, models, and reports end to end for clients — currently a fast-growing fintech client. Core stack is Snowflake, Kleene, advanced SQL, Python, and one of Azure/AWS/GCP, with high autonomy and direct stakeholder collaboration.

AssetMark Global Wealth

Data Engineer

Agile AI API Automation Azure +23 skills

Data Engineer at AssetMark's Hyderabad Technology Center building and operating ETL/ELT pipelines, integrations, and data feeds on Azure and Snowflake for a wealth management platform. Day-to-day involves data ingestion, pipeline monitoring and incident response, data quality/governance, and CI/CD-driven development using Python, SQL, and Git workflows.