Marktine Technology Solutions Pvt Ltd
Data Engineer
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Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead data engineering architecture and execution for large-scale, low-latency analytics. Own technical direction, ensure operational data quality, design streaming and batch pipelines, mentor engineers, coordinate cross-functional teams, and deliver scalable solutions using Spark, Airflow, and AWS or equivalent data platforms.
Top Skills:
AirflowAthenaColumn StoresDatabricksDatabricks ApisEmrFlinkHiveKafkaKappa ArchitectureLambda ArchitectureMaster Data Management (Mdm)Microservices ArchitectureRedshiftSparkSQLStreaming Pipelines
Artificial Intelligence • Cloud • Software
Build and maintain scalable data products using Snowflake, dbt, and Airflow. Responsibilities include dimensional data modeling, SQL transformations, pipeline orchestration, data quality testing, exploratory analysis, SLA monitoring, documentation, and stakeholder requirement gathering. Partner with analytics, product, engineering, and business teams to deliver reliable, production-ready datasets while following software engineering, CI/CD, testing, and deployment practices.
Top Skills:
Apache AirflowDbtPythonSnowflakeSQL
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Fintech • Financial Services
Leads data engineering initiatives involving ETL/ELT pipelines, database optimization, orchestration, big data technologies, data modeling, BI performance, and data quality monitoring. Requires strong Scala, Python, SQL, and shell scripting skills, plus payments-domain expertise covering transaction processing, settlements, disputes, reconciliation, gateways, acquiring, issuing, and PCI-DSS compliance. The role also involves cross-functional communication, planning, facilitation, negotiation, and collaboration with senior stakeholders and clients.
Top Skills:
AirflowBusiness IntelligenceData ModelingData Quality FrameworksEltETLHadoopJavaLuigiMonitoringNoSQLPci-DssPrefectPythonScalaShell ScriptingSparkSQLTest Automation
We are looking for a Data Engineer with skills in Python, SQL, and Azure technologies to develop Big Data applications. Responsibilities include working with Spark and Docker to handle large scale data processing and analytics.
This is a remote position.
- Must have - Python, SQL, Spark, Databricks, Azure Data Factory, Azure Synapse, Docker
- Good to have - Knowledge of Teradata, Airflow, AWS, GC
- experience in developing Big Data applications
- Experience in large-scale Big Data & Analytics applications
- Hands on experience in using technologies like Spark, Scala,
- Experience in Azure & Docker are added advantage.
- Strong problem-solving skills, data structures and algorithms
- Experience with distributed systems handling large amounts of data.
Requirements
- Immediate Joiner
- Remote location
- Data Engineer with 2 to 6 Yrs of experience
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