Job
Description
Where: Hyderabad/ Bengaluru, India (Hybrid Mode 3 Days/Week in Office) 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. 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. If anyone looking for the same, kindly share below mentioned details. Total Experience Relevant Experience: Ctct Notice Period: Ectc Current Location: Skills:- OLAP, Microsoft Azure, Architecting Show more Show less
