TechStar Group
Location
Chennai | India
Job description
TechStar was started in the year 2002 with the vision of providing high quality services for customers in Application Development, Business Intelligence and Data warehousing solutions.
TechStar Consulting Inc. Provides business and technology convergence solutions through IT consulting and services to clients globally, to help them formulate and implement business transformations. Our client focused; highly collaborative work approach ensures optimal solutions in the shortest possible time.
TechStar is a world-class team of system architects, experienced engineers, project managers and software developers who have amassed a powerhouse of experience in delivering befitting solutions for large-scale, full lifecycle software projects. We use our time tested onsite/offsite/offshore Delivery Model to effect savings in development costs and time.
In the short time since its inception, TechStar has built up an enviable list of clients. It has styled its relationship with large enterprise accounts through long-term contracts involving onsite, offsite, and offshore development projects. The clientele includes corporations like Verizon Telecom, Verizon Wireless, Microsoft, Ericsson, Oracle, NEC, Mr. Cooper, Deloitte, JPMorgan, Chase and Hess Oil, CBRE, NVIDIA, NEC etc.
Responsibilities
Design and Implement scalable solutions for ever-increasing data volumes, using big data/cloud technologies like Pyspark, Kafka, etc. Collaborate with cross-functional teams to understand data requirements and provide effective solutions.
Implement real-time data ingestion and processing solutions.
Develop and maintain ETL/ELT processes to support data analytics and reporting.
Implement best practices for data security, integrity, and quality.
Optimize and troubleshoot data-related issues for seamless operations.
Requirements
Bachelor's in engineering / Master's degree in Computer Science, Information Systems or related field
Minimum of 6-8 years of experience in data engineering.
Experience with databases and data warehousing concepts (Preferred - PostgreSQL, Snowflake)
Strong SQL skills with experience in writing complex queries.
Working knowledge of Data warehousing, Data modelling, Governance, and Data Architecture
Ability to handle large scale structured and unstructured data from internal and third-party sources.
Hands On Experience in Python, Pyspark, Kafka
Experience with data engineering tools/technologies in GCP Cloud environment
Proficiency in designing and maintaining scalable data architectures.
Experience with CICD Tools like GitHub
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