Project Role : Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Scala
Good to have skills : Python (Programming Language), Apache Hadoop, PySpark
Minimum 3 year(s) of experience is required
Educational Qualification : B tech

Summary: As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems using Scala. Roles & Responsibilities: - Design, develop, and maintain data solutions for data generation, collection, and processing using Scala. - Create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems. - Collaborate with cross-functional teams to identify and resolve data-related issues. - Develop and maintain data models, data dictionaries, and data flow diagrams. Professional & Technical Skills: - Must To Have Skills: Proficiency in Scala. - Good To Have Skills: Experience with cloud-based data solutions such as AWS. - Python (Programming Language), Apache Hadoop, PySpark. - Experience with ETL tools such as Apache NiFi, Talend, or Informatica. - Experience with data warehousing and data modeling concepts. - Experience with SQL and NoSQL databases. - Strong understanding of distributed computing principles. Additional Information: - The candidate should have a minimum of 3 years of experience in Scala. - The ideal candidate will possess a strong educational background in computer science, information technology, or a related field, along with a proven track record of delivering impactful data-driven solutions. - This position is based at our Pune office.

B tech

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