
Senior Data Engineer
4 weeks ago
Job Title : Senior Data Engineer
Location : Pune
Job Type : Full-Time
IIT Graduates only
Job Description :
We are looking for a Senior Data Engineer with strong expertise in Azure Databricks, PySpark, and distributed computing to develop and optimize scalable ETL pipelines for manufacturing analytics. The role involves working with high-frequency industrial data to enable real-time and batch data Responsibilities :
- Perform data pre-processing, including cleaning, transformation, deduplication, normalization, encoding, and
scaling to ensure high-quality input for downstream analytics.
- Design and maintain cloud-based data architectures, including data lakes, lakehouses, and warehouses, following Medallion Architecture.
- Deploy and optimize data solutions on Azure (preferred), AWS, or GCP with a focus on performance, security, and scalability.
- Develop and optimize ETL/ELT pipelines for structured and unstructured data from IoT, MES, SCADA, LIMS, and ERP systems.
- Automate data workflows using CI/CD and DevOps best practices, ensuring security and compliance with industry standards
- Monitor, troubleshoot, and enhance data pipelines for high availability and reliability.
- Utilize Docker and Kubernetes for scalable data processing.
- Collaborate with automation Skills and Qualifications :
- 4+ years of experience in data engineering, with a strong focus on cloud platforms such as Azure (preferred), AWS, or GCP
- Proficiency in PySpark, Azure Databricks, Python and Apache Spark, etc.
- Expertise in relational databases (e.g., SQL Server, PostgreSQL), time series databases (e.g. Influx DB), and NoSQL databases (e.g., MongoDB, Cassandra)
- Experience in containerization (Docker, Kubernetes).
- Strong analytical and problem-solving skills with attention to detail.
- Good to have MLOps, DevOps including model lifecycle management
- Excellent communication and collaboration skills, with a proven ability to work effectively as a team player.
- Comfortable working in a dynamic, fast-paced startup environment, adapting quickly to changing priorities and responsibilities.
(ref:hirist.tech)
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