We are looking for people who have the right attitude, aptitude, skills, empathy, compassion, and hunger for learning.Built products in the data analytics space, either frontend/backend/cloud. A passion for shipping high-quality products, interest in the data products space, curiosity about the bigger picture of building a company, product development, people, and product
Roles and Responsibilities
- We are looking for a savvy Data Engineering professional to join the newly formed Data Engineering team
- We are looking for Big Data specialists who have proven skills on working large scale data systems
- The hire will be responsible for building and optimizing data pipeline architectures, as well as optimizing data flow and collection for multiple source systems
- The ideal candidate should be experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up
- Have got robust ability to build robust and resilient data pipelines which are fault tolerant and reliable in terms of data movement




- Should have knowledge of experience on batch and stream data processing
- Create end to end data products and productionize them in cloud/in-house servers

Technical Skills
- Minimum 2-4 years of progressive experience building solutions in Big Data environments
- Should have solid hands on experience on Big Data technologies like Hadoop, HBase, Hive, Pig, Oozie, MapReduce, Yarn, HDFS, Zookeeper
- Hands on knowledge of Apache Spark with Java/Scala for batch and stream processing will be highly preferred
- Knowledge of Apache Kafka will be added advantage but not mandatory
- Strong hands on capabilities on SQL and NoSQL technologies
- Should be able to build performant, fault tolerant, scalable solutions
- Excellent written and verbal communication skills

What is in it for you
- A clear career path with a hybrid of technical track and management track to grow in the company
- In the technical track, the candidate will be

📌 Big Data Engineer (Pune)
🏢 Coditas Technologies
📍 Pune