AzimuthGRC Technologies

3 months ago

Gurugram, India AzimuthGRC Technologies India Private Limited Full time

As a Databricks Developer, you will play a crucial role in implementing and optimizing our Databricks environments. You will work closely with data engineers, data scientists, and other stakeholders to build scalable data solutions that drive business insights and :


- Conceptualize and communicate Data architecture strategy, technical design and technology roadmap for data platform solutions and services.


- Lead design and development of data architecture to support implementation of large-scale data solutions in Databricks to support multiple use cases (delta lake, cloud Datawarehouse migrations, reporting and analytics).


- Guiding the organization and development teams on the overall data processes, architectural approaches for data strategy design and implementation.


- Providing data solutions that enable business intelligence data integration, data services, self-service analytics, and data-driven digital products and services.


- Articulating the value proposition of cloud modernization/transformation to stakeholders; creating detailed documentation that empowers other engineers and customers.


- Architecting the solutions for Databricks-specific use cases (streaming and batch) as well as integrating it into other solution components in the customer architecture landscape.


- Translating advanced business data, integration and analytics problems into technical approaches that yield actionable recommendations, across multiple, diverse domains.


- Implement architectural improvements for existing solutions using legacy modernization and cloud adoptions strategies.


- Creating Azure Data Factory processes for SQL and NoSQL data pipelines, and working in Azure SQL, to create tables, views, stored procedures, and other database objects.


- Creating applications through Scala, Python, and Java.


- Developing Spark tasks for data aggregation and transformation


- Writing Scala style documents with each code.


- Identifying technical issues (performance bottlenecks, data discrepancies, system defects) in data and software, perform root cause analysis, and communicate results effectively to the development team and other stakeholders.


- Providing recommendations on opportunities and improvements and participating in technology and analytics profile :


- 8+ years of experience working with Databricks, Apache Spark, and big data technologies.


- 8 years of experience with Azure Databricks, Azure Data Factory, and Pyspark


- 5 year's experience with Python to extract data from unstructured files, such as XML, PDF, HTML


- Highly proficient in use of Spark and Azure Databricks


- Experience working in Microsoft Azure


- Proven experience in designing and implementing data solutions and ETL pipelines.


- Strong understanding of data architecture, data modeling, and data warehousing concepts.


- Proficiency in Databricks and Spark, including cluster management, job scheduling, and performance

tuning.


- Experience with cloud platforms such as AWS, Azure, or Google Cloud.


- Hands-on working knowledge of topics such as data security, messaging patterns, ELT, Data wrangling and cloud computing and proficiency in data integration/EAI and DB technologies, sophisticated analytics tools, programming languages or visualization platforms


- Knowledge of the Databricks ecosystem


Team Management :


Experience :


- Strong programming skills in languages such as Python, Scala, or SQL.


- Experience with data integration tools and technologies (e.g., Kafka, Delta Lake).


- Knowledge of data governance, security, and compliance best practices


- Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.


- Advanced degrees or certifications are a plus

(ref:hirist.tech)

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