Data Engineer

4 weeks ago


BangaloreHyderabadChennaiPune, India Nilasu consulting Full time

Responsibilities:

- Design, develop, and deploy production-ready data pipelines using Databricks, Kafka, and Snowflake.

- Collaborate with data analysts, software engineers, and stakeholders to understand data requirements and develop effective data migration strategies, API configurations, and backend architecture.

- Extract, transform, and load (ETL) data from various sources, ensuring data integrity and accuracy through data mapping, transformation, and validation procedures.

- Implement data quality checks, data profiling, and data cleansing techniques to maintain high data consistency.

- Partner with the data governance team to adhere to data privacy and compliance regulations.

- Leverage cloud platforms (AWS, Azure, Google Cloud) for data management solutions.

- Work effectively with various database management systems (SQL Server, PostgreSQL, DynamoDB, MongoDB).

- Design and build scalable real-time data processing pipelines using Apache Kafka.

- Utilize APIs and microservices to ensure seamless data connectivity across applications and 5+ years of experience leading data migration efforts, preferably in the healthcare industry.

- Expertise in Databricks, Kafka, and Snowflake technologies.

- Familiarity with Azure Data Factory (ADF) (willing to be trained is a plus).

- Experience with data governance practices and compliance regulations.

- Strong understanding of ETL processes and data warehousing concepts.

- Proficiency in data quality checks, profiling, and cleansing techniques.

- Familiarity with cloud-based data solutions (AWS, Azure, Google Cloud) is a plus.

- Knowledge of various database management systems (SQL Server, PostgreSQL, DynamoDB, MongoDB).

- Understanding of data analytics and visualization tools (e.g., Tableau, Power BI) is a plus.

- Experience with Git version control (GitHub).

- Ability to design complex relational databases and manage them efficiently.

- Strong understanding of APIs and microservices architecture.

(ref:hirist.tech)

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