Ascentt | Data Engineer
3 weeks ago
Job Title: Data Engineer
Location: Indore, Madhya Pradesh, India
Full Time Onsite
Experience 3+ Years
Job Description
We are seeking a skilled and motivated Data Engineer with over 3 years of experience to join our dynamic team. The ideal candidate will have strong expertise in Scala and will play a key role in designing, building, and optimizing our data pipelines and systems.
Key Responsibilities
- Develop, maintain, and optimize scalable data pipelines using Scala.
- Collaborate with data scientists, analysts, and software engineers to design and implement robust data solutions.
- Build and maintain data models, ETL processes, and integrations with various data sources.
- Ensure the availability, reliability, and performance of data systems.
- Monitor, troubleshoot, and enhance data pipelines to ensure data accuracy and consistency.
- Work with large datasets and distributed systems to process and analyse data.
- Document data workflows, architectures, and technical specifications.
- Stay updated with emerging technologies and best practices in data engineering and recommend improvements.
Required Skills and Qualifications
- Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
- 3+ years of experience as a Data Engineer or similar role.
- Proficiency in Scala for data engineering tasks.
- Hands-on experience with distributed data processing frameworks like Apache Spark.
- Solid understanding of ETL pipelines, data modelling, and data warehousing concepts.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Experience with big data technologies like Hadoop, Kafka, or Flink.
- Strong knowledge of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).
- Proficient in working with version control systems like Git.
- Excellent problem-solving and analytical skills.
- Good communication and team collaboration abilities.
Preferred Skills
- Experience with containerization tools like Docker and orchestration tools like Kubernetes.
- Knowledge of data visualization tools or libraries.
- Exposure to machine learning workflows and frameworks.
- Certifications in cloud technologies or big data platforms.
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