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Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
The role involves driving business analytics through data models, providing expertise in data visualization and the Semantic Layer, and training stakeholders.
Top Skills:
AlteryxBig QueryExcelGCPPower BIPythonRTableau
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The Snowflake Senior Data Engineer will lead projects in data engineering, utilizing Snowflake and various AWS services to optimize data workflows and storage, while also guiding the team and collaborating with stakeholders.
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Aws Ec2Aws EmrAws RdsAws S3HadoopHiveLinux BashLuigiPythonSnowflakeSparkSQL
Fintech • Financial Services
The Data Engineer will design, develop, and maintain scalable data pipelines using Microsoft Fabric and Azure services, ensuring data quality and performance while collaborating with cross-functional teams.
Top Skills:
Azure Data FactoryAzure DevopsAzure SqlDelta LakeMicrosoft FabricPower BIPythonRbacSQL
At InfyStrat, we are on the lookout for an innovative and skilled Data Engineer to join our dynamic team. In this position, you will be responsible for building and maintaining our data architecture, ensuring that our data is accessible, reliable, and timely. You will leverage your expertise to design robust data pipelines and optimize data flows to support analytical and operational needs across the organization. Collaborating with data analysts, data scientists, and other stakeholders, you will gather requirements to create scalable data solutions that drive business intelligence and insights. If you have a passion for data and enjoy tackling complex challenges, we want to hear from you!
Core Responsibilities- Design, develop, and maintain data pipelines to support ETL processes.
- Ensure data quality and integrity across various data sources and systems.
- Collaborate with cross-functional teams to identify data requirements and create data models.
- Utilize big data technologies for large-scale data processing.
- Monitor and troubleshoot performance issues related to data processes.
- Stay updated on the latest technologies and best practices within the data engineering field.
Requirements
- Degree in Computer Science, Information Technology, or a related field.
- 5 years of experience in data engineering or related roles.
- Expertise in SQL and experience with multiple data storage solutions (NoSQL, relational databases).
- Familiarity with cloud computing platforms (AWS, Azure, Google Cloud).
- Experience with data processing frameworks such as Apache Kafka, Spark, or similar.
- Programming experience in Python, Java, or Scala.
- Strong analytical skills and the ability to work with complex data sets.
- Excellent communication and teamwork skills.
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
