generation.
o 3+ years of software engineering experience.
o Advanced knowledge of Python, with 2+ years in a production environment.
o Experience with practical applications of deep learning.
o Experience with agile, test-driven development, continuous integration, and automated testing.
o Experience with productionizing machine learning models and integrating into web- services.
o Experience with the full software development life cycle, including requirements collection, design, implementation, testing, and operational support.
o Excellent verbal and written communication, teamwork, decision making and influencing
skills.
o Hustle. Thrives in an evolving, fast paced, ambiguous work environment.
About E-Commerce Aggregator Platform
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- Extensive exposure to at least one Business Intelligence Platform (if possible, QlikView/Qlik Sense) – if not Qlik, ETL tool knowledge, ex- Informatica/Talend
- At least 1 Data Query language – SQL/Python
- Experience in creating breakthrough visualizations
- Understanding of RDMS, Data Architecture/Schemas, Data Integrations, Data Models and Data Flows is a must
companies uncover the 3% of active buyers in their target market. It evaluates
over 100 billion data points and analyzes factors such as buyer journeys, technology
adoption patterns, and other digital footprints to deliver market & sales intelligence.
Its customers have access to the buying patterns and contact information of
more than 17 million companies and 70 million decision makers across the world.
Role – Data Engineer
Responsibilities
Work in collaboration with the application team and integration team to
design, create, and maintain optimal data pipeline architecture and data
structures for Data Lake/Data Warehouse.
Work with stakeholders including the Sales, Product, and Customer Support
teams to assist with data-related technical issues and support their data
analytics needs.
Assemble large, complex data sets from third-party vendors to meet business
requirements.
Identify, design, and implement internal process improvements: automating
manual processes, optimizing data delivery, re-designing infrastructure for
greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and
loading of data from a wide variety of data sources using SQL, Elasticsearch,
MongoDB, and AWS technology.
Streamline existing and introduce enhanced reporting and analysis solutions
that leverage complex data sources derived from multiple internal systems.
Requirements
5+ years of experience in a Data Engineer role.
Proficiency in Linux.
Must have SQL knowledge and experience working with relational databases,
query authoring (SQL) as well as familiarity with databases including Mysql,
Mongo, Cassandra, and Athena.
Must have experience with Python/Scala.
Must have experience with Big Data technologies like Apache Spark.
Must have experience with Apache Airflow.
Experience with data pipeline and ETL tools like AWS Glue.
Experience working with AWS cloud services: EC2, S3, RDS, Redshift.
Hi,
Enterprise Minds is looking for Data Architect for Pune Location.
Req Skills:
Python,Pyspark,Hadoop,Java,Scala
Roles and Responsibilities
Hiring - Python Developer Freelance Consultant (WFH-Remote)
Greetings from Deltacubes Technology!!
Skillset Required:
Python
Pyspark
AWS
Scala
Experience:
5+ years
Thanks
Bavithra
About Us
upGrad is an online education platform building the careers of tomorrow by offering the most industry-relevant programs in an immersive learning experience. Our mission is to create a new digital-first learning experience to deliver tangible career impact to individuals at scale. upGrad currently offers programs in Data Science, Machine Learning, Product Management, Digital Marketing, and Entrepreneurship, etc. upGrad is looking for people passionate about management and education to help design learning programs for working professionals to stay sharp and stay relevant and help build the careers of tomorrow.
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upGrad was awarded the Best Tech for Education by IAMAI for 2018-19
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upGrad was also ranked as one of the LinkedIn Top Startups 2018: The 25 most sought-
after startups in India
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upGrad was earlier selected as one of the top ten most innovative companies in India
by FastCompany.
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We were also covered by the Financial Times along with other disruptors in Ed-Tech
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upGrad is the official education partner for Government of India - Startup India
program
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Our program with IIIT B has been ranked #1 program in the country in the domain of Artificial Intelligence and Machine Learning
Role Summary
Are you excited by the challenge and the opportunity of applying data-science and data- analytics techniques to the fast developing education technology domain? Do you look forward to, the sense of ownership and achievement that comes with innovating and creating data products from scratch and pushing it live into Production systems? Do you want to work with a team of highly motivated members who are on a mission to empower individuals through education?
If this is you, come join us and become a part of the upGrad technology team. At upGrad the technology team enables all the facets of the business - whether it’s bringing efficiency to ourmarketing and sales initiatives, to enhancing our student learning experience, to empowering our content, delivery and student success teams, to aiding our student’s for their desired careeroutcomes. We play the part of bringing together data & tech to solve these business problems and opportunities at hand.
We are looking for an highly skilled, experienced and passionate data-scientist who can come on-board and help create the next generation of data-powered education tech product. The ideal candidate would be someone who has worked in a Data Science role before wherein he/she is comfortable working with unknowns, evaluating the data and the feasibility of applying scientific techniques to business problems and products, and have a track record of developing and deploying data-science models into live applications. Someone with a strong math, stats, data-science background, comfortable handling data (structured+unstructured) as well as strong engineering know-how to implement/support such data products in Production environment.
Ours is a highly iterative and fast-paced environment, hence being flexible, communicating well and attention-to-detail are very important too. The ideal candidate should be passionate about the customer impact and comfortable working with multiple stakeholders across the company.
Roles & Responsibilities-
- 3+ years of experience in analytics, data science, machine learning or comparable role
- Bachelor's degree in Computer Science, Data Science/Data Analytics, Math/Statistics or related discipline
- Experience in building and deploying Machine Learning models in Production systems
- Strong analytical skills: ability to make sense out of a variety of data and its relation/applicability to the business problem or opportunity at hand
- Strong programming skills: comfortable with Python - pandas, numpy, scipy, matplotlib; Databases - SQL and noSQL
- Strong communication skills: ability to both formulate/understand the business problem at hand as well as ability to discuss with non data-science background stakeholders
- Comfortable dealing with ambiguity and competing objectives
Skills Required
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Experience in Text Analytics, Natural Language Processing
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Advanced degree in Data Science/Data Analytics or Math/Statistics
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Comfortable with data-visualization tools and techniques
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Knowledge of AWS and Data Warehousing
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Passion for building data-products for Production systems - a strong desire to impact
the product through data-science technique
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We are looking for a savvy Data Engineer to join our growing team of analytics experts.
The hire will be responsible for:
- Expanding and optimizing our data and data pipeline architecture
- Optimizing data flow and collection for cross functional teams.
- Will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.
- Must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.
- Experience with Azure : ADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates
- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
- Experience with object-oriented/object function scripting languages: Python, SQL, Scala, Spark-SQL etc.
Nice to have experience with :
- Big data tools: Hadoop, Spark and Kafka
- Data pipeline and workflow management tools: Azkaban, Luigi, Airflow
- Stream-processing systems: Storm
Database : SQL DB
Programming languages : PL/SQL, Spark SQL
Looking for candidates with Data Warehousing experience, strong domain knowledge & experience working as a Technical lead.
The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives.
Object-oriented languages (e.g. Python, PySpark, Java, C#, C++ ) and frameworks (e.g. J2EE or .NET)