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Data Engineer

1 month ago

Pune, India Collabera Digital Full time
Position Details:

Job Title: Data Engineer

Experience : 3+ years

Location: Pune

Job Details and Requirements:

What You’ll Bring:

- Programming/Scripting Languages: Proficiency in Python, SQL, and PySpark is required.- Cloud Platforms: Experience with AWS or Azure, specifically in building data pipelines, is needed.- Cloud-Based Data Platforms: Working knowledge of Snowflake and Databricks is preferred.- Data Pipeline Orchestration: Experience with Azure Data Factory and AWS Glue for orchestrating data pipelines is necessary.- Relational Databases: Competency with relational databases such as PostgreSQL and MySQL is required, while experience with NoSQL databases is a plus.- BI Tools: Knowledge of BI tools such as Tableau and PowerBI is expected.- CI/CD for Data Pipelines: Experience in implementing continuous integration and delivery for data workflows using tools like Azure DevOps is essential.

- Big Data Technologies: Proficiency in working with big data technologies, particularly in the context of Azure Databricks, which may include Apache Spark for distributed data processing.- Azure Databricks: In-depth knowledge of Azure Databricks for data engineering tasks, including data transformations, ETL processes, and job scheduling.- SQL and Query Optimization: Strong SQL skills for data manipulation and retrieval, along with the ability to optimize queries for performance in Snowflake.- ETL (Extract, Transform, Load): Expertise in designing and implementing ETL processes to move and transform data between systems, utilizing tools and frameworks available in Azure Databricks.- Data Integration: Experience with integrating diverse data sources into a cohesive and usable format, ensuring data quality and integrity.- Python/PySpark: Knowledge of programming languages like Python and PySpark for scripting and extending the functionality of Azure Databricks notebooks.- Version Control: Familiarity with version control systems, such as Git, for managing code and configurations in a collaborative environment.- Monitoring and Optimization: Ability to monitor data pipelines, identify bottlenecks, and optimize performance for both Azure Data Factory- Security and Compliance: Understanding of security best practices and compliance considerations when working with sensitive data in Azure and Snowflake environments.- Snowflake Data Warehouse: Experience in designing, implementing, and optimizing data warehouses using Snowflake, including schema design, performance tuning, and query optimization.- Healthcare Domain Knowledge: Familiarity with US health plan terminologies and datasets is essential.