Hello
Hope you are doing well.
Position: Senior Azure Data Engineer
Location: Chicago, IL- Onsite
Duration: 12 Months
Client: TCS
***ONLY LOCALS***F2F Interview****
Role Description:
Experience: 10+ Years is Must
Essential Skills and Role:
- Design, build, and maintain robust and scalable data pipelines that ingest, process, and store data from various sources.
- Develop and implement ETL (Extract, Transform, Load) processes for data integration and warehousing.
- Ensure data quality and integrity through data validation, cleansing, and monitoring.
- Collaborate with data scientists, analysts, and other stakeholders to understand data needs and provide data solutions.
- Optimize data pipelines for performance and cost efficiency.
- Research and evaluate new data technologies and tools to improve our data infrastructure.
- Document data processes and maintain data dictionaries.
- Troubleshoot and resolve data-related issues.
- Stay up to date with the latest trends and best practices in data engineering.
- Contribute to the development of data governance policies and procedures.
Technical Skills:
- Programming Languages: Proficiency in at least one programming language such as Python, Java, Scala, or Go.
- Databases: Experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).
- Big Data Technologies: Experience with Azure Databricks, Snowflake, Hadoop, Spark, Hive, Kafka, or other big data processing frameworks.
- Cloud Platforms: Experience with cloud computing platforms such as AWS, Azure, or GCP (Azure is preferred).
- ETL Tools: Experience with ETL tools such as Informatica, Talend, or Apache Airflow.
- Data Warehousing: Understanding of data warehousing concepts and techniques.
- Data Modeling: Experience with data modeling and schema design.
- SQL: Strong SQL skills.
- Linux/Unix: Familiarity with Linux/Unix operating systems.
- Version Control: Experience with Git or other version control systems.
Thanks & Regards
KumaraSwamy
iTech US, Inc
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