Data Engineer

Job Description

WE'RE HIRING – Data Engineer- Snowflake🚨 📍 Locations: Bangalore, Chennai, Hyderabad, Pune, Mumbai, Gurgaon 🕘 Experience: Senior (6+ Years). CTC- 14 to 16 LPA Job Description: We are seeking a seasoned Data Engineer with over 6+ years of experience in building scalable, high-performing web applications. The ideal candidate will have hands-on expertise with a solid understanding of modern development practices, design principles, and microservices architecture. Key Requirements: 6+ Years of experience in Data Engineering. Expertise in Snowflake, DBT and Python - Minimum 2+ Years Knowledge in AWS Cloud (AWS S3 and Lambda) Snaplogic or FivTran Tool knowledge is an added advantage Having knowledge of streaming data pipeline(Kafka, HiveMQ) will be helpful. Willing to learn and upskillCognite data platform. Mandatory Skills: Snowflake, Python, AWS and DBT Be a part of a fast-growing tech company fostering innovation and talent at the core of its growth strategy. 📌 Work from Office | Immediate Joiners Preferred ******************************************************************************************************************* 🚨 WE'RE HIRING – Data Engineer - Pyspark🚨 📍 Locations: Bangalore, Chennai, Hyderabad, Pune, Mumbai, Gurgaon 🕘 Experience: Senior (7+ Years). CTC- 15 to 17 LPA Job Description: We are seeking a seasoned Data Engineer with over 7+ years of experience in building scalable, high-performing web applications. The ideal candidate will have hands-on expertise in development, with a solid understanding of modern development practices, design principles, and microservices architecture. Key Requirements: Strong experience in Python Scripting and PySpark for data processing Proficiency in SQL dealing with big data over Informatica ETL Proven experience in Data quality and data optimization of data lake in Iceberg format with strong understanding of architecture Experience in AWS Glue jobs Experience in AWS cloud platform and its data services S3 Redshift Lambda EMR Airflow Postgres SNS Event bridge Expertise in BASH Shell scripting Strong understanding of healthcare data systems and experience leading data engineering teams Experience in Agile environments. Excellent problem-solving skills and attention to detail Effective communication and collaboration skills Responsibility: Leads development of data pipelines and architectures that handle large scale data sets Designs constructs and tests data architecture aligned with business requirements Provides technical leadership for data projects ensuring best practices and high quality data solutions Collaborates with product finance and other business units to ensure data pipelines meet business requirements Work with DBT Data Build Tool for transforming raw data into actionable insights Oversees development of data solutions that enable predictive and prescriptive analytics Ensures the technical quality of solutions managing data as it moves across environments Aligns data architecture to Healthfirst solution architecture. Qualifications Required: 7 Years overall IT experience with minimum 5 years of work experience in below tech skills Be a part of a fast-growing tech company fostering innovation and talent at the core of its growth strategy. 📌 Work from Office | Immediate Joiners Preferred Show more Show less