Azure Data Architect

3 weeks ago

Delhi, India Gramener Full time
Job Description

- Collaborate with stakeholders to develop a data strategy that meets enterprise needs and industry requirements.- Create an inventory of the data necessary to build and implement a data architecture.- Envision data pipelines and how data will flow through the data landscape.- Evaluate current data management technologies and what additional tools are needed.- Determine upgrades and improvements to current data architectures.- Design, document, build and implement database architectures and applications. Should have hands-on experience in building high scale OLAP systems.- Build data models for database structures, analytics, and use cases.- Develop and enforce database development standards with solid DB/ Query optimizations capabilities.- Integrate new systems and functions like security, performance, scalability, governance, reliability, and data recovery.- Research new opportunities and create methods to acquire data.- Develop measures that ensure data accuracy, integrity, and accessibility.- Continually monitor, refine, and report data management system performance.

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Required Qualifications And Skillset

- Extensive knowledge of Azure, GCP clouds, and DataOps Data Eco-System (super strong in one of the two clouds and satisfactory in the other one)- Hands-on expertise in systems like Snowflake, Synapse, SQL DW, BigQuery, and Cosmos DB. (Expertise in any 3 is a must)- Azure Data Factory, Dataiku, Fivetran, Google Cloud Dataflow (Any 2)- Hands-on experience in working with services/technologies like - Apache Airflow, Cloud Composer, Oozie, Azure Data Factory, and Cloud Data Fusion (Expertise in any 2 is required)- Well-versed with Data services, integration, ingestion, ELT/ETL, Data Governance, Security, and Meta-driven Development.- Expertise in RDBMS (relational database management system) – writing complex SQL logic, DB/Query optimization, Data Modelling, and managing high data volume for mission-critical applications.- Strong grip on programming using Python and PySpark.- Clear understanding of data best practices prevailing in the industry.- Preference to candidates having Azure or GCP architect certification. (Either of the two would suffice)- Strong networking and data security experience.

Awareness Of The Following

- Application development understanding (Full Stack)- Experience on open-source tools like Kafka, Spark, Splunk, Superset, etc.- Good understanding of Analytics Platform Landscape that includes AI/ML- Experience in any Data Visualization tool like PowerBI / Tableau / Qlik /QuickSight etc.

About Us

Gramener is a design-led data science company. We build custom Data & AI solutions that help solve complex business problems with actionable insights and compelling data stories. We partner with enterprise data and digital transformation teams to improve the data-driven decision-making culture across the organization. Our open standard low-code platform, Gramex, rapidly builds engaging Data & AI solutions across multiple business verticals and use cases. Our solutions and technology have been recognized by analysts such as Gartner and Forrester and have won several awards.

We Offer You

- a chance to try new things & take risks.- meaningful problems you'll be proud to solve.- people you will be comfortable working with.- transparent and innovative work environment.

To know more about us visit Gramener Website and Gramener Blog.

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