Data Engineer
1 month ago
Tata Consultancy Services is seeking a highly skilled Data Engineer to join our team. As a Data Engineer, you will be responsible for designing and building data pipelines using Spark-SQL and PySpark in Azure Databricks.
Key Responsibilities:
- Design and build data pipelines using Spark-SQL and PySpark in Azure Databricks.
- Build and maintain Lakehouse architecture in ADLS / Databricks.
- Perform data preparation tasks including data cleaning, normalization, deduplication, type conversion etc.
- Work with DevOps team to deploy solutions in production environments.
- Collaborate with Data Science and Business Intelligence teams to share key learnings, leverage ideas and solutions and to propagate best practices.
- Apply change management tools including training, communication, and documentation to manage upgrades, changes and data migrations.
Requirements:
- 2-5 years of relevant IT experience with good exposure to Cloud technologies.
- Experience using Databricks and proficiency in Microsoft Azure platform (incl. ADF and ADLS).
- Experience querying databases and strong programming skills: PySpark, Python, SQL, etc.
- Strong knowledge of data concepts and tools.
- Ability to be an effective team member with remote colleagues.
- Strong communication skills in English language (both written and spoken).
Preferred Qualifications:
- Knowledge of distributed systems (e.g., Apache Spark or Databricks)
- Knowledge of Delta Lake and Lakehouse architecture
- Experience with multiple data programming languages (Spark-SQL, PySpark, Pandas)
- Experience with On-premises databases such as SQL server, Oracle etc.
- Experience with version control (e.g., Git), DevOps, CI/CD
What We Offer:
Tata Consultancy Services offers a competitive salary and benefits package, as well as opportunities for professional growth and development.
How to Apply:
If you are a motivated and experienced Data Engineer looking for a new challenge, please submit your application with your resume and cover letter.
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