
๐๐ฆ ๐ข๐ณ๐ฆ ๐ค๐ถ๐ณ๐ณ๐ฆ๐ฏ๐ต๐ญ๐บ ๐ด๐ฆ๐ฆ๐ฌ๐ช๐ฏ๐จ ๐ข ๐ต๐ข๐ญ๐ฆ๐ฏ๐ต๐ฆ๐ฅ ๐ข๐ฏ๐ฅ ๐ฅ๐ณ๐ช๐ท๐ฆ๐ฏ ๐๐ถ๐ด๐ช๐ฏ๐ฆ๐ด๐ด ๐๐ฆ๐ท๐ฆ๐ญ๐ฐ๐ฑ๐ฎ๐ฆ๐ฏ๐ต ๐๐ด๐ด๐ฐ๐ค๐ช๐ข๐ต๐ฆ (๐๐๐) ๐ต๐ฐ ๐ซ๐ฐ๐ช๐ฏ ๐ฐ๐ถ๐ณ ๐ต๐ฆ๐ข๐ฎ ๐ช๐ฏ ๐๐ถ๐ณ๐จ๐ข๐ฐ๐ฏ. ๐๐ด ๐ข ๐๐๐, ๐บ๐ฐ๐ถ ๐ธ๐ช๐ญ๐ญ ๐ฑ๐ญ๐ข๐บ ๐ข ๐ค๐ณ๐ถ๐ค๐ช๐ข๐ญ ๐ณ๐ฐ๐ญ๐ฆ ๐ช๐ฏ ๐ฅ๐ณ๐ช๐ท๐ช๐ฏ๐จ ๐ฐ๐ถ๐ณ ๐ช๐ฏ๐ด๐ช๐ฅ๐ฆ ๐ด๐ข๐ญ๐ฆ๐ด ๐ฆ๐ง๐ง๐ฐ๐ณ๐ต๐ด, ๐จ๐ฆ๐ฏ๐ฆ๐ณ๐ข๐ต๐ช๐ฏ๐จ ๐ฏ๐ฆ๐ธ ๐ฃ๐ถ๐ด๐ช๐ฏ๐ฆ๐ด๐ด ๐ญ๐ฆ๐ข๐ฅ๐ด, ๐ข๐ฏ๐ฅ ๐ฆ๐น๐ฑ๐ข๐ฏ๐ฅ๐ช๐ฏ๐จ ๐ฐ๐ถ๐ณ ๐ณ๐ฆ๐ข๐ค๐ฉ.
๐๐ฐ๐ฃ ๐๐ช๐ต๐ญ๐ฆ: ๐๐ถ๐ด๐ช๐ฏ๐ฆ๐ด๐ด ๐๐ฆ๐ท๐ฆ๐ญ๐ฐ๐ฑ๐ฎ๐ฆ๐ฏ๐ต ๐๐ด๐ด๐ฐ๐ค๐ช๐ข๐ต๐ฆ (๐๐๐)
๐๐ฐ๐ค๐ข๐ต๐ช๐ฐ๐ฏ: ๐๐ถ๐ณ๐จ๐ข๐ฐ๐ฏ
๐๐ฐ๐ณ๐ฌ๐ช๐ฏ๐จ: ๐๐ฐ๐ณ๐ฌ ๐ง๐ณ๐ฐ๐ฎ ๐ฐ๐ง๐ง๐ช๐ค๐ฆ (๐๐๐)
๐๐ฏ๐ฅ๐ถ๐ด๐ต๐ณ๐บ: ๐๐ฅ ๐๐ฆ๐ค๐ฉ
๐๐ถ๐ฏ๐ค๐ต๐ช๐ฐ๐ฏ๐ข๐ญ ๐๐ณ๐ฆ๐ข: ๐๐ฏ๐ด๐ช๐ฅ๐ฆ ๐๐ข๐ญ๐ฆ๐ด
๐๐ฉ๐ช๐ง๐ต: ๐๐ข๐บ ๐๐ฉ๐ช๐ง๐ต / ๐๐ช๐จ๐ฉ๐ต ๐๐ฉ๐ช๐ง๐ต (๐ฐ๐ฑ๐ต๐ช๐ฐ๐ฏ๐ข๐ญ)
๐๐ข๐ญ๐ข๐ณ๐บ ๐๐ข๐ฏ๐จ๐ฆ:
๐๐ฐ๐ฎ๐ฆ๐ด๐ต๐ช๐ค ๐๐ฉ๐ช๐ง๐ต: (๐๐๐) ๐๐๐ 6.6 ๐๐๐ (4.23 ๐๐๐ ๐๐ช๐น๐ฆ๐ฅ + 2.4 ๐๐๐ ๐๐ข๐ณ๐ช๐ข๐ฃ๐ญ๐ฆ)
๐๐/๐๐ข๐ฏ๐ข๐ฅ๐ข (๐ฏ๐ช๐จ๐ฉ๐ต ๐ด๐ฉ๐ช๐ง๐ต): (๐๐๐) ๐๐๐ 7.10 ๐๐๐ (4.8 ๐๐๐ ๐๐ช๐น๐ฆ๐ฅ + 2.3 ๐๐๐ ๐๐ข๐ณ๐ช๐ข๐ฃ๐ญ๐ฆ)
๐๐ณ๐ข๐ช๐ฏ๐ช๐ฏ๐จ ๐๐ฆ๐ณ๐ช๐ฐ๐ฅ: 21๐ ๐๐ช๐น๐ฆ๐ฅ + ๐๐ฏ๐ค๐ฆ๐ฏ๐ต๐ช๐ท๐ฆ
๐๐ฆ๐ฒ๐ถ๐ช๐ณ๐ฆ๐ฅ ๐๐ฌ๐ช๐ญ๐ญ๐ด:
๐๐น๐ค๐ฆ๐ญ๐ญ๐ฆ๐ฏ๐ต ๐ค๐ฐ๐ฎ๐ฎ๐ถ๐ฏ๐ช๐ค๐ข๐ต๐ช๐ฐ๐ฏ ๐ด๐ฌ๐ช๐ญ๐ญ๐ด ๐ต๐ฐ ๐ฆ๐ง๐ง๐ฆ๐ค๐ต๐ช๐ท๐ฆ๐ญ๐บ ๐ฆ๐ฏ๐จ๐ข๐จ๐ฆ ๐ธ๐ช๐ต๐ฉ ๐ฑ๐ฐ๐ต๐ฆ๐ฏ๐ต๐ช๐ข๐ญ ๐ค๐ญ๐ช๐ฆ๐ฏ๐ต๐ด
๐๐ต๐ณ๐ฐ๐ฏ๐จ ๐ช๐ฏ๐ต๐ฆ๐ณ๐ฑ๐ฆ๐ณ๐ด๐ฐ๐ฏ๐ข๐ญ ๐ด๐ฌ๐ช๐ญ๐ญ๐ด ๐ต๐ฐ ๐ฃ๐ถ๐ช๐ญ๐ฅ ๐ข๐ฏ๐ฅ ๐ฎ๐ข๐ช๐ฏ๐ต๐ข๐ช๐ฏ ๐ณ๐ฆ๐ญ๐ข๐ต๐ช๐ฐ๐ฏ๐ด๐ฉ๐ช๐ฑ๐ด
๐๐ณ๐ฐ๐ท๐ฆ๐ฏ ๐ข๐ฃ๐ช๐ญ๐ช๐ต๐บ ๐ต๐ฐ ๐ฎ๐ฆ๐ฆ๐ต ๐ด๐ข๐ญ๐ฆ๐ด ๐ต๐ข๐ณ๐จ๐ฆ๐ต๐ด ๐ข๐ฏ๐ฅ ๐ฅ๐ณ๐ช๐ท๐ฆ ๐ฃ๐ถ๐ด๐ช๐ฏ๐ฆ๐ด๐ด ๐จ๐ณ๐ฐ๐ธ๐ต๐ฉ
๐๐ฆ๐ญ๐ง-๐ฎ๐ฐ๐ต๐ช๐ท๐ข๐ต๐ฆ๐ฅ, ๐ฑ๐ณ๐ฐ๐ข๐ค๐ต๐ช๐ท๐ฆ, ๐ข๐ฏ๐ฅ ๐ณ๐ฆ๐ด๐ถ๐ญ๐ต-๐ฐ๐ณ๐ช๐ฆ๐ฏ๐ต๐ฆ๐ฅ ๐ฎ๐ช๐ฏ๐ฅ๐ด๐ฆ๐ต
๐๐ฐ๐ฐ๐ฅ ๐ฐ๐ณ๐จ๐ข๐ฏ๐ช๐ป๐ข๐ต๐ช๐ฐ๐ฏ๐ข๐ญ ๐ข๐ฏ๐ฅ ๐ต๐ช๐ฎ๐ฆ ๐ฎ๐ข๐ฏ๐ข๐จ๐ฆ๐ฎ๐ฆ๐ฏ๐ต ๐ด๐ฌ๐ช๐ญ๐ญ๐ด
๐๐ฏ๐ฐ๐ธ๐ญ๐ฆ๐ฅ๐จ๐ฆ ๐ฐ๐ง ๐ต๐ฉ๐ฆ ๐๐ฅ ๐๐ฆ๐ค๐ฉ ๐ช๐ฏ๐ฅ๐ถ๐ด๐ต๐ณ๐บ ๐ข๐ฏ๐ฅ ๐ถ๐ฏ๐ฅ๐ฆ๐ณ๐ด๐ต๐ข๐ฏ๐ฅ๐ช๐ฏ๐จ ๐ฐ๐ง ๐ฑ๐ถ๐ฃ๐ญ๐ช๐ค ๐ด๐ฑ๐ฆ๐ข๐ฌ๐ช๐ฏ๐จ ๐ข๐ฏ๐ฅ ๐ค๐ณ๐ฆ๐ข๐ต๐ช๐ท๐ฆ ๐ธ๐ณ๐ช๐ต๐ช๐ฏ๐จ ๐ฆ๐ฅ๐ถ๐ค๐ข๐ต๐ช๐ฐ๐ฏ ๐ช๐ด ๐ข ๐ฑ๐ญ๐ถ๐ด.
๐๐น๐ฑ๐ฆ๐ณ๐ช๐ฆ๐ฏ๐ค๐ฆ: 0-3 ๐บ๐ฆ๐ข๐ณ๐ด ๐ฐ๐ง ๐ฆ๐น๐ฑ๐ฆ๐ณ๐ช๐ฆ๐ฏ๐ค๐ฆย
๐๐ฅ๐ถ๐ค๐ข๐ต๐ช๐ฐ๐ฏ: ๐๐ณ๐ข๐ฅ๐ถ๐ข๐ต๐ช๐ฐ๐ฏ 2018-2024
๐๐ฎ๐ฑ๐ฐ๐ณ๐ต๐ข๐ฏ๐ต ๐๐ณ๐ช๐ต๐ฆ๐ณ๐ช๐ข:
๐๐ช๐ญ๐ญ๐ช๐ฏ๐จ๐ฏ๐ฆ๐ด๐ด ๐ต๐ฐ ๐ธ๐ฐ๐ณ๐ฌ 5 ๐ฅ๐ข๐บ๐ด ๐ข ๐ธ๐ฆ๐ฆ๐ฌ
๐๐ฃ๐ช๐ญ๐ช๐ต๐บ ๐ต๐ฐ ๐ต๐ฉ๐ณ๐ช๐ท๐ฆ ๐ช๐ฏ ๐ข ๐ฉ๐ช๐จ๐ฉ-๐ช๐ฏ๐ต๐ฆ๐ฏ๐ด๐ช๐ต๐บ ๐ญ๐ฆ๐ข๐ณ๐ฏ๐ช๐ฏ๐จ ๐ข๐ฏ๐ฅ ๐ณ๐ข๐ฑ๐ช๐ฅ-๐จ๐ณ๐ฐ๐ธ๐ช๐ฏ๐จ ๐ด๐ต๐ข๐ณ๐ต-๐ถ๐ฑ ๐ฆ๐ฏ๐ท๐ช๐ณ๐ฐ๐ฏ๐ฎ๐ฆ๐ฏ๐ต
๐ธ๐ฆ ๐ธ๐ข๐ฏ๐ต ๐ต๐ฐ ๐ฉ๐ฆ๐ข๐ณ ๐ง๐ณ๐ฐ๐ฎ ๐บ๐ฐ๐ถ. ๐๐ฐ๐ช๐ฏ ๐ฐ๐ถ๐ณ ๐ฅ๐บ๐ฏ๐ข๐ฎ๐ช๐ค ๐ต๐ฆ๐ข๐ฎ ๐ข๐ฏ๐ฅ ๐ฃ๐ฆ ๐ฑ๐ข๐ณ๐ต ๐ฐ๐ง ๐ข ๐ค๐ฐ๐ฎ๐ฑ๐ข๐ฏ๐บ ๐ต๐ฉ๐ข๐ต ๐ช๐ด ๐ณ๐ฆ๐ท๐ฐ๐ญ๐ถ๐ต๐ช๐ฐ๐ฏ๐ช๐ป๐ช๐ฏ๐จ ๐ฆ๐ฅ๐ถ๐ค๐ข๐ต๐ช๐ฐ๐ฏ.

About Planet Spark
About
PlanetSpark is on its journey to becoming the global leader in the large and untapped communication skills segment. We are Series A funded by some top VCs and are on a 30% month-on-month growth curve. We have our footprint in India, the Middle East, North America, and Australia. Come join a passionate team of over 500 young and energetic members and 400+ expert and handpicked teachers on this roller coaster ride to build the most loved brand for kids who will move the world!
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Our Client, is a leading manufacturer of high-quality stainless-steel kitchenware, sheet metal products, and industrial components. With a strong legacy of innovation and manufacturing excellence, we cater to both domestic and global markets.
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- Gather requirement:ย Use the meetings to gather requirements. In case there is no immediate requirement, maintain a relationship with the potential advertisers for future requirement
- Addressing the client requirements:ย Work closely with the media managers to address the client queries
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- Maintain PR:ย Keep putting up efforts to increase business from existing clients.
- ย
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Job Location: Chennai
Job Summary
The Engineering team is seeking a Data Architect. As a Data Architect, you will drive a
Data Architecture strategy across various Data Lake platforms. You will help develop
reference architecture and roadmaps to build highly available, scalable and distributed
data platforms using cloud based solutions to process high volume, high velocity and
wide variety of structured and unstructured data. This role is also responsible for driving
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Primary Responsibilities
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โข Demonstrated technology and personal leadership experience in architecting,
designing, and building highly scalable solutions and products.
โข Enterprise scale expertise in data management best practices such as data integration,
data security, data warehousing, metadata management and data quality.
โข Extensive knowledge and experience in architecting modern data integration
frameworks, highly scalable distributed systems using open source and emerging data
architecture designs/patterns.
โข Experience building external cloud (e.g. GCP, AWS) data applications and capabilities is
highly desirable.
โข Expert ability to evaluate, prototype and recommend data solutions and vendor
technologies and platforms.
โข Proven experience in relational, NoSQL, ELT/ETL technologies and in-memory
databases.
โข Experience with DevOps, Continuous Integration and Continuous Delivery technologies
is desirable.
โข This role requires 15+ years of data solution architecture, design and development
delivery experience.
โข Solid experience in Agile methodologies (Kanban and SCRUM)
Required Skills
โข Very Strong Experience in building Large Scale High Performance Data Platforms.
โข Passionate about technology and delivering solutions for difficult and intricate
problems. Current on Relational Databases and No sql databases on cloud.
โข Proven leadership skills, demonstrated ability to mentor, influence and partner with
cross teams to deliver scalable robust solutions..
โข Mastery of relational database, NoSQL, ETL (such as Informatica, Datastage etc) /ELT
and data integration technologies.
โข Experience in any one of Object Oriented Programming (Java, Scala, Python) and
Spark.
โข Creative view of markets and technologies combined with a passion to create the
future.
โข Knowledge on cloud based Distributed/Hybrid data-warehousing solutions and Data
Lake knowledge is mandate.
โข Good understanding of emerging technologies and its applications.
โข Understanding of code versioning tools such as GitHub, SVN, CVS etc.
โข Understanding of Hadoop Architecture and Hive SQL
โข Knowledge in any one of the workflow orchestration
โข Understanding of Agile framework and delivery
โข
Preferred Skills:
โ Experience in AWS and EMR would be a plus
โ Exposure in Workflow Orchestration like Airflow is a plus
โ Exposure in any one of the NoSQL database would be a plus
โ Experience in Databricks along with PySpark/Spark SQL would be a plus
โ Experience with the Digital Media and Publishing domain would be a
plus
โ Understanding of Digital web events, ad streams, context models
About Condรฉ Nast
CONDร NAST INDIA (DATA)
Over the years, Condรฉ Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condรฉ Nast made the right
move to invest heavily in understanding this data and formed a whole new Data team
entirely dedicated to data processing, engineering, analytics, and visualization. This team
helps drive engagement, fuel process innovation, further content enrichment, and increase
market revenue. The Data team aimed to create a company culture where data was the
common language and facilitate an environment where insights shared in real-time could
improve performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The
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Intelligence, Data Engineering, Data Science, and Operations (including Product and
Marketing Ops, Client Services) along with Data Strategy and monetization. The teams built
capabilities and products to create data-driven solutions for better audience engagement.
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We want to welcome bright, new minds into our midst and work together to create diverse
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extraordinary. We are a media company for the future, with a remarkable past. We are
Condรฉ Nast, and It Starts Here.

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At-least 1 year of Python, Spark, SQL, data engineering experience
Primary Skillset: PySpark, Scala/Python/Spark, Azure Synapse, S3, RedShift/Snowflake
Relevant Experience: Legacy ETL job Migration to AWS Glue / Python & Spark combination
ย
ROLE SCOPE:
Reverse engineer the existing/legacy ETL jobs
Create the workflow diagrams and review the logic diagrams with Tech Leads
Write equivalent logic in Python & Spark
Unit test the Glue jobs and certify the data loads before passing to system testing
Follow the best practices, enable appropriate audit & control mechanism
Analytically skillful, identify the root causes quickly and efficiently debug issues
Take ownership of the deliverables and support the deployments
ย
REQUIREMENTS:
Create data pipelines for data integration into Cloud stacks eg. Azure Synapse
Code data processing jobs in Azure Synapse Analytics, Python, and Spark
Experience in dealing with structured, semi-structured, and unstructured data in batch and real-time environments.
Should be able to process .json, .parquet and .avro files
ย
PREFERRED BACKGROUND:
Tier1/2 candidates from IIT/NIT/IIITs
However, relevant experience, learning attitude takes precedence

โข Proficient in Swift, Swift UI, Cocoa Touch and iOS SDK
โข Strong knowledge in UI design principles, patterns, and best practices
โข Experience with third-party libraries like Google Maps, Firebase etc
โข Experience in Payment gateway integration
โข Experience in integrating social media libraries for apps
โข Should have experience in handling a team
โข Knowledge and experience of the Software Development life cycles like Agile, Scrum and
โข Waterfall Model.
โข Knowledge on cross platform application development
โข Experience in publishing an iOS app on App Store
โข Experience in team environment, including design, coding, and revision control practices
โข Very good communication skills.
โข Ability to contribute individually and drive the team
โข Work closely with stakeholders and UX teams to execute an idea from concept to delivery using excellent software design
โข Identify and correct bottlenecks and fix bugs
โข Working knowledge of the general mobile landscape,

