Tesco is hiring for the position of Software Development Engineer II – Azure Data Engineering in Bengaluru, India. Candidates with a Bachelor’s/ Master’s Degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
| Company Name | Tesco |
| Position | Software Development Engineer II – Azure Data Engineering |
| Qualifications | Bachelor’s/ Master’s Degree |
| Batch | 2020/ 2021/ 2022/ 2023/ 2024/ 2025 |
| Experience | Freshers/ Experienced |
| Location | Bengaluru, India |
Key Responsibilities:
- Design, build, and maintain scalable ETL/ELT data pipelines using Azure Data Factory, Databricks, and Spark.
- Develop and optimize data workflows for large-scale data processing and transformation using SQL and Python or Scala.
- Implement performance tuning and optimization strategies for data pipelines and Spark jobs to ensure efficient data processing.
- Collaborate with data engineers to support feature engineering, model deployment, and end-to-end data engineering workflows.
- Ensure data quality and integrity by implementing validation, error handling, and monitoring mechanisms.
- Work with structured and unstructured data using technologies such as Delta Lake and Parquet within a Big Data ecosystem.
- Contribute to MLOps practices, including integrating machine learning pipelines, managing model versioning, and supporting CI/CD processes.
Eligibility Criteria:
- Proficiency in the Azure Data Platform, including Data Factory and Databricks.
- Strong skills in SQL and Python or Scala for data manipulation.
- Experience in designing and maintaining ETL/ELT pipelines and performing data transformations.
- Familiarity with Big Data technologies such as Spark, Delta Lake, and Parquet.
- Expertise in data pipeline optimization and performance tuning.
- Experience with feature engineering and model deployment.
- Strong troubleshooting, analytical, and problem-solving skills.
- Experience implementing data quality checks and validation processes.
- Nice-to-Have Skills:
Preferred Skills:
- Exposure to NLP, time-series forecasting, and anomaly detection techniques.
- Familiarity with data governance frameworks and compliance practices.
- Basic knowledge of AI/ML concepts.
- Experience integrating ML and MLOps practices, including CI/CD, model monitoring, and versioning.
- Ability to support ML pipelines with efficient data workflows.
About Company:
One of the world’s largest retailers of consumer goods from food to fashion. Serving our customers, communities and planet a little better every day in our stores and online is at the heart of everything we do.
How To Apply?
- First, read through all of the job details on this page.
- Scroll down and press the Click Here button.
- To be redirected to the official website, click on the apply link.
- Fill the details with the information provided.
- Before submitting the application, cross-check the information you’ve provided.
