Gramener
https://www.gramener.comAbout
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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:
Notice Period:
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Javascript
Bootstrap
Python
HTML/CSSJob Description
- 4-5 years of overall experience and 2+ years of experience as full stack developer with skills on Python, Javascript and databases.
- Excellent programming skills and hands-on experience in Python, Java Script, HTML, and CSS.
- Experience of working in Data Science domain is an advantage, but not mandatory.
- Ability to positively contribute to a team and willingness to quickly complete large volumes of work with high quality.
- Excellent analytical and critical thinking skills.
- Excellent verbal and written communication skills.
- BE/BTech or MCA Degree or any graduate with desired skills.
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