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Sr. Data Engineer
Sr. Data Engineer
Koantek's logo

Sr. Data Engineer

Bhoomika Varshney's profile picture
Posted by Bhoomika Varshney
4 - 8 yrs
₹10L - ₹30L / yr
Remote only
Skills
skill iconPython
databricks
SQL
Spark
PySpark
skill iconAmazon Web Services (AWS)
Google Cloud Platform (GCP)
Microsoft Windows Azure

The Sr AWS/Azure/GCP Databricks Data Engineer at Koantek will use comprehensive

modern data engineering techniques and methods with Advanced Analytics to support

business decisions for our clients. Your goal is to support the use of data-driven insights

to help our clients achieve business outcomes and objectives. You can collect, aggregate, and analyze structured/unstructured data from multiple internal and external sources and

patterns, insights, and trends to decision-makers. You will help design and build data

pipelines, data streams, reporting tools, information dashboards, data service APIs, data

generators, and other end-user information portals and insight tools. You will be a critical

part of the data supply chain, ensuring that stakeholders can access and manipulate data

for routine and ad hoc analysis to drive business outcomes using Advanced Analytics. You are expected to function as a productive member of a team, working and

communicating proactively with engineering peers, technical lead, project managers, product owners, and resource managers. Requirements:

 Strong experience as an AWS/Azure/GCP Data Engineer and must have

AWS/Azure/GCP Databricks experience.  Expert proficiency in Spark Scala, Python, and spark

 Must have data migration experience from on-prem to cloud

 Hands-on experience in Kinesis to process & analyze Stream Data, Event/IoT Hubs, and Cosmos

 In depth understanding of Azure/AWS/GCP cloud and Data lake and Analytics

solutions on Azure.  Expert level hands-on development Design and Develop applications on Databricks.  Extensive hands-on experience implementing data migration and data processing

using AWS/Azure/GCP services

 In depth understanding of Spark Architecture including Spark Streaming, Spark Core, Spark SQL, Data Frames, RDD caching, Spark MLib

 Hands-on experience with the Technology stack available in the industry for data

management, data ingestion, capture, processing, and curation: Kafka, StreamSets, Attunity, GoldenGate, Map Reduce, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc

 Hands-on knowledge of data frameworks, data lakes and open-source projects such

asApache Spark, MLflow, and Delta Lake

 Good working knowledge of code versioning tools [such as Git, Bitbucket or SVN]

 Hands-on experience in using Spark SQL with various data sources like JSON, Parquet and Key Value Pair

 Experience preparing data for Data Science and Machine Learning with exposure to- model selection, model lifecycle, hyperparameter tuning, model serving, deep

learning, etc

 Demonstrated experience preparing data, automating and building data pipelines for

AI Use Cases (text, voice, image, IoT data etc. ).  Good to have programming language experience with. NET or Spark/Scala

 Experience in creating tables, partitioning, bucketing, loading and aggregating data

using Spark Scala, Spark SQL/PySpark

 Knowledge of AWS/Azure/GCP DevOps processes like CI/CD as well as Agile tools

and processes including Git, Jenkins, Jira, and Confluence

 Working experience with Visual Studio, PowerShell Scripting, and ARM templates.  Able to build ingestion to ADLS and enable BI layer for Analytics

 Strong understanding of Data Modeling and defining conceptual logical and physical

data models.  Big Data/analytics/information analysis/database management in the cloud

 IoT/event-driven/microservices in the cloud- Experience with private and public cloud

architectures, pros/cons, and migration considerations.  Ability to remain up to date with industry standards and technological advancements

that will enhance data quality and reliability to advance strategic initiatives


 Working knowledge of RESTful APIs, OAuth2 authorization framework and security

best practices for API Gateways

 Guide customers in transforming big data projects, including development and

deployment of big data and AI applications

 Guide customers on Data engineering best practices, provide proof of concept, architect solutions and collaborate when needed

 2+ years of hands-on experience designing and implementing multi-tenant solutions


using AWS/Azure/GCP Databricks for data governance, data pipelines for near real-

time data warehouse, and machine learning solutions.  Over all 5+ years' experience in a software development, data engineering, or data


analytics field using Python, PySpark, Scala, Spark, Java, or equivalent technologies.  hands-on expertise in Apache SparkTM (Scala or Python)

 3+ years of experience working in query tuning, performance tuning, troubleshooting, and debugging Spark and other big data solutions.  Bachelor's or Master's degree in Big Data, Computer Science, Engineering, Mathematics, or similar area of study or equivalent work experience

 Ability to manage competing priorities in a fast-paced environment

 Ability to resolve issues

 Basic experience with or knowledge of agile methodologies

 AWS Certified: Solutions Architect Professional

 Databricks Certified Associate Developer for Apache Spark

 Microsoft Certified: Azure Data Engineer Associate

 GCP Certified: Professional Google Cloud Certified

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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Koantek

Founded :
2020
Type :
Products & Services
Size :
100-1000
Stage :
Raised funding

About

We work with you to understand your current technology landscape and strategic goals and connect you with solutions to modernize your technology platform. We help you leverage the power of technology to transform your business by reducing complexities and improving growth velocity. We support you at every step of the way as you modernize your data platforms: strategy, capability identification, execution, and organization while making ethical AI considerations to drive your initiatives. As a true consulting partner, Koantek does more than provide a technology solution; we guide you through the entire process so that you can make the best decisions for your company. ​​ Today's competitive marketplace requires innovation and agility to scale and outpace the competition. Are you harnessing the power of data for game-changing predictive insights? Let's discuss solutions that best support your strategy.
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  • npm/nvm concept and hands on experience on usage
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About Senrya Technologies Pvt.Ltd. –

We are a full-stack avant-garde product organization with its roots in East India (Kolkata) and expanse in North East, Maharashtra, Gurgaon, Karnataka and has made Kolkata from backwaters of IT to a live-wire hub of innovation.  We blend innovation and next-gen technologies with rich experience of more than a decade and undaunted ambition with the primary objective to build highly scalable solutions that will impact a billion lives. 

 

Senrysa group of companies includes three business verticals that contribute to our success story - Fintech, Retailtech, Healthtech. The growth trajectory of Senrysa has been 100% every passing year.

 

Fintech - We are one of the leading Fintech organization in financial inclusion with innovative ICT solutions. Senrysa Technologies was an early adopter of the India Stack and has pioneered the Aadhaar Enabled Payment System under the flagship of the business correspondent model for masses and has acquired more than 30 million customers till date under this initiative. We take pride in been granted RuPay Certification from NPCI. Senrysa has diversified client base from Public Sector Bank, Private Bank, Regional Rural Bank to Co-operative Banks across India.

 

Retailtech - NDHGO is an AI-enabled B2B  online ordering platform that empowers small and medium businesses to go online in less than a minute thereby offering unorganized retail players a level playing field to compete with organized aggregators. It will also enable them to sell and market their product offerings online with zero commission. We aim to develop a sustainable online ecosystem for the stores and make their presence digitally discernible and accelerate customer engagement with a mobile first approach and simplicity of adoption where retailers can list their products from the NDHGO Catalogue Builder and share the link to their store with customers through WhatsApp and trending Social Media.  Please refer attached presentation for a quick overview.

 

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Understanding the dire need for new practices and procedures and to ensure that quality and timely healthcare reaches every corner of India, we are into Healthcare. We are developing the most advanced IoT based telemedicine devices, this would advent smart health practices that would help improve quality, increase access and affordability.


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Relocation Bonus
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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