Job Location: India
Srijan Technologies is currently hiring for the Senior Developer – Data Engineer (Data Bricks) role with a hybrid work mode. (2 days work from the office and 3 days WFH).
Recognized among one of the World’s Most Democratic Workplaces, Srijan is headquartered in New Delhi with delivery centers/work locations in Delhi, Gurgaon, Pune, Bangalore, Chennai, Hyderabad, Ahmedabad, Indore, Kolkata, and Jaipur.
Job description
- Plan, configure, deploy, and optimize Microsoft Azure based Data solutions.
- Collaborate with other team members to develop and enhance deliverables.
- Continuously improve team processes to ensure information is of the highest quality, contributing to the overall effectiveness of the team.
- Stay abreast of industry changes, especially in the areas of cloud data and analytics technologies.
- Ability to simultaneously work and deliver on more than one project on Individual contributor role.
- Ability to work on multiple areas like Data pipeline ETL, Data modelling & design, writing complex SQL queries etc.
- Capable of planning and executing on both short-term and long-term goals individually and with the team.
- Provides best practices, direction for data engineering and design across multiple projects and functional areas.
- Partner with Data Engineers, Data architects, domain experts, data analysts and other teams to build foundational data sets that are trusted, well understood, aligned with business strategy and enable self-service
What will you contribute?
- 3+ years of experience Developing, deploying data solutions using Power BI, Azure platform and pyspark.
- Experience on designing Data pipelines (ETL/ELT), Datawarehouse and Data marts
- Hands-on expert with real-time data processing and analytics, data ingestion (batched and streamed), and data storage solutions
- Hands on Azure Analysis Services & Power BI and good to have experience on other tools
- Hands on experience with Data Factory, Data Lake Storage, Databricks, Data Explorer, Machine Learning, and Azure Synapse Analytics is good to have.
- Expert at creating data dissemination diagrams, data flow diagrams, data lifecycle diagrams, data migration diagrams, and data security diagrams etc.
- Demonstrated strength in data management, orchestration, access control, etc
- A proven expert in writing optimized SQL to deal with large data volumes.
- Hands on knowledge on Python along its main data libraries like Pandas, Numpy, Beautiful soup etc.
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