Senior Executive - Analytics (Marketing Mix Model)

Publicis Sapient Overview:

The Senior Associate People Senior Associate L1 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution 

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Job Summary:

As Senior Associate L2 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution

The role requires a hands-on technologist who has strong programming background like Java / Scala / Python, should have experience in Data Ingestion, Integration and data Wrangling, Computation, Analytics pipelines and exposure to Hadoop ecosystem components. You are also required to have hands-on knowledge on at least one of AWS, GCP, Azure cloud platforms.

Role & Responsibilities:

Your role is focused on Design, Development and delivery of solutions involving:

• Data Integration, Processing & Governance

• Data Storage and Computation Frameworks, Performance Optimizations

• Analytics & Visualizations

• Infrastructure & Cloud Computing

• Data Management Platforms

• Implement scalable architectural models for data processing and storage

• Build functionality for data ingestion from multiple heterogeneous sources in batch & real-time mode

• Build functionality for data analytics, search and aggregation

Experience Guidelines:

Mandatory Experience and Competencies:

# Competency

1.Overall 5+ years of IT experience with 3+ years in Data related technologies

2.Minimum 2.5 years of experience in Big Data technologies and working exposure in at least one cloud platform on related data services (AWS / Azure / GCP)

3.Hands-on experience with the Hadoop stack – HDFS, sqoop, kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in building end to end data pipeline.

4.Strong experience in at least of the programming language Java, Scala, Python. Java preferable

5.Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDb, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc

6.Well-versed and working knowledge with data platform related services on at least 1 cloud platform, IAM and data security

Preferred Experience and Knowledge (Good to Have):

# Competency

1.Good knowledge of traditional ETL tools (Informatica, Talend, etc) and database technologies (Oracle, MySQL, SQL Server, Postgres) with hands on experience

2.Knowledge on data governance processes (security, lineage, catalog) and tools like Collibra, Alation etc

3.Knowledge on distributed messaging frameworks like ActiveMQ / RabbiMQ / Solace, search & indexing and Micro services architectures

4.Performance tuning and optimization of data pipelines

5.CI/CD – Infra provisioning on cloud, auto build & deployment pipelines, code quality

6.Cloud data specialty and other related Big data technology certifications

Personal Attributes:

• Strong written and verbal communication skills

• Articulation skills

• Good team player

• Self-starter who requires minimal oversight

• Ability to prioritize and manage multiple tasks

• Process orientation and the ability to define and set up processes

Requirements

Experience

• 5+ years of professional experience in implementing MLOps framework to scale up ML in production.
• Hands-on experience with Kubernetes, Kubeflow, MLflow, Sagemaker, and other ML model experiment management tools including training, inference, and evaluation.
• Experience in ML model serving (TorchServe, TensorFlow Serving, NVIDIA Triton inference server, etc.)
• Proficiency with ML model training frameworks (PyTorch, Pytorch Lightning, Tensorflow, etc.).
• Experience with GPU computing to do data and model training parallelism.
• Solid software engineering skills in developing systems for production.
• Strong expertise in Python.
• Building end-to-end data systems as an ML Engineer, Platform Engineer, or equivalent.
• Experience working with cloud data processing technologies (S3, ECR, Lambda, AWS, Spark, Dask, ElasticSearch, Presto, SQL, etc.).
• Having Geospatial / Remote sensing experience is a plus.

Title:  Data Engineer – Snowflake

Location: Mysore (Hybrid model)

Exp-2-8 yrs

Type: Full Time

Walk-in date: 25th Jan 2023 @Mysore 

Job Role: We are looking for an experienced Snowflake developer to join our team as a Data Engineer who will work as part of a team to help design and develop data-driven solutions that deliver insights to the business. The ideal candidate is a data pipeline builder and data wrangler who enjoys building data-driven systems that drive analytical solutions and building them from the ground up. You will be responsible for building and optimizing our data as well as building automated processes for production jobs. You will support our software developers, database architects, data analysts and data scientists on data initiatives

Key Roles & Responsibilities:

• Use advanced complex Snowflake/Python and SQL to extract data from source systems for ingestion into a data pipeline.
• Design, develop and deploy scalable and efficient data pipelines.
• Analyze and assemble large, complex datasets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements. For example: automating manual processes, optimizing data delivery, re-designing data platform infrastructure for greater scalability.
• Build required infrastructure for optimal extraction, loading, and transformation (ELT) of data from various data sources using AWS and Snowflake leveraging Python or SQL technologies.
• Monitor cloud-based systems and components for availability, performance, reliability, security and efficiency
• Create and configure appropriate cloud resources to meet the needs of the end users.
• As needed, document topology, processes, and solution architecture.
• Share your passion for staying on top of tech trends, experimenting with and learning new technologies

Qualifications & Experience

Qualification & Experience Requirements:

• Bachelor's degree in computer science, computer engineering, or a related field.
• 2-8 years of experience working with Snowflake
• 2+ years of experience with the AWS services.
• Candidate should able to write the stored procedure and function in Snowflake.
• At least 2 years’ experience in snowflake developer.
• Strong SQL Knowledge.
• Data injection in snowflake using Snowflake procedure.
• ETL Experience is Must (Could be any tool)
• Candidate should be aware of snowflake architecture.
• Worked on the Migration project
• DW Concept (Optional)
• Experience with cloud data storage and compute components including lambda functions, EC2s, containers.
• Experience with data pipeline and workflow management tools: Airflow, etc.
• Experience cleaning, testing, and evaluating data quality from a wide variety of ingestible data sources
• Experience working with Linux and UNIX environments.
• Experience with profiling data, with and without data definition documentation

• Familiar with Git
• Familiar with issue tracking systems like JIRA (Project Management Tool) or Trello.
• Experience working in an agile environment.

Desired Skills:

• Experience in Snowflake. Must be willing to be Snowflake certified in the first 3 months of employment.
• Experience with a stream-processing system: Snowpipe
• Working knowledge of AWS or Azure
• Experience in migrating from on-prem to cloud systems

We are looking for a Data Analyst that oversees organisational data analytics. This will require you to design and help implement the data analytics platform that will keep the organisation running. The team will be the go-to for all data needs for the app and we are looking for a self-starter who is hands on and yet able to abstract problems and anticipate data requirements.
This person should be very strong technical data analyst who can design and implement data systems on his own. Along with him, he also needs to be proficient in business reporting and should have keen interest in provided data needed for business.

Tools familiarity:  SQL, Python, Mix panel, Metabase, Google Analytics,  Clever Tap, App Analytics

Responsibilities

• Processes and frameworks for metrics, analytics, experimentation and user insights, lead the data analytics team
• Metrics alignment across teams to make them actionable and promote accountability
• Data based frameworks for assessing and strengthening Product Market Fit
• Identify viable growth strategies through data and experimentation
• Experimentation for product optimisation and understanding user behaviour
• Structured approach towards deriving user insights, answer questions using data
• This person needs to closely work with Technical and Business teams to get this implemented.

Skills

• 4 to 6 years at a relevant role in data analytics in a Product Oriented company
• Highly organised, technically sound & good at communication
• Ability to handle & build for cross functional data requirements / interactions with teams
• Great with Python, SQL
• Can build, mentor a team
• Knowledge of key business metrics like cohort, engagement cohort, LTV, ROAS, ROE

Eligibility

BTech or MTech in Computer Science/Engineering from a Tier1, Tier2 colleges

Good knowledge on Data Analytics, Data Visualization tools. A formal certification would be added advantage.

We are more interested in what you CAN DO than your location, education, or experience levels.

Send us your code samples / GitHub profile / published articles if applicable.

Graphene is an award-winning AI company, developing customized insights and data solutions for corporate clients. With a focus on healthcare, consumer goods and financial services, our proprietary AI platform is disrupting market research with an approach that allows us to get into the mind of customers to a degree unprecedented in traditional market research.

Graphene was founded by corporate leaders from Microsoft and P&G and works closely with the Singapore Government & universities in creating cutting edge technology. We are gaining traction with many Fortune 500 companies globally.

Graphene has a 6-year track record of delivering financially sustainable growth and is one of the few start-ups which are self-funded, yet profitable and debt free.

We already have a strong bench strength of leaders in place. Now, we are looking to groom more talents for our expansion into the US. Join us and take both our growths to the next level!

• Primary Purpose: As part of a highly productive and creative AI (NLP) analytics team, optimize algorithms/models for performance and scalability, engineer & implement machine learning algorithms into services and pipelines to be consumed at web-scale
• Daily Grind: Interface with data scientists, project managers, and the engineering team to achieve sprint goals on the product roadmap, and ensure healthy models, endpoints, CI/CD,
• Career Progression: Senior ML Engineer, ML Architect

• Work in a product-development team capable of independently authoring software products.
• Guide junior programmers, set up the architecture, and follow modular development approaches.
• Design and develop code which is well documented.
• Optimize of the application for maximum speed and scalability
• Adhere to the best Information security and Devops practices.
• Research and develop new approaches to problems.
• Design and implement schemas and databases with respect to the AI application
• Cross-pollinated with other teams.

HARD AND SOFT SKILLS

Must Have

• Problem-solving abilities
• Extremely strong programming background – data structures and algorithm
• Advanced Machine Learning: TensorFlow, Keras
• Python, spaCy, NLTK, Word2Vec, Graph databases, Knowledge-graph, BERT (derived models), Hyperparameter tuning
• Experience with OOPs and design patterns
• Exposure to RDBMS/NoSQL
• Test Driven Development Methodology

Good to Have

• Working in cloud-native environments (preferably Azure)
• Microservices
• Enterprise Design Patterns
• Microservices Architecture
• Distributed Systems

About - 

https://www.logixhealth.com/" target="_blank">https://www.logixhealth.com/

 

Relevant Years of Exp  - Minimum 4-8 years of experience in data analysis, data reporting, identify and analyze pattern/trends.

 

Knowledge Skill Sets -

 

§ Experience with Tableau dashboard 

§ Careful and attentive to details 

§ Willing and eager to call out mistakes 

§ Beginner to intermediate knowledge of relational databases, reporting, business intelligence 

§ Professional communicator 

§ Inquisitive/Curious readily asking questions about anything that doesn’t make sense or feels right 

§ Good interpersonal skills with a proven ability to communicate effectively (both written and verbal). 

§ Well-developed skill in MS Excel 

§ Displays awareness of the need for confidentially in sensitive matters. 

§ Eye for detailing.

 

Role Description - 

 

§ Execute tasks assigned by reporting manager and/or Bedford SPOC 

§ Identify, analyze, and interpret trends or patterns 

§ Audit and report discrepancies/inconsistencies in Tableau reports/dashboards 

§ Publish weekly/monthly reports in pre-defined format and frequency to reporting manager

 

Job Purpose - 

§ Prepare reports using Tableau for delivery to clients 

§ Adjust parameters and prepare custom reports using previously built dashboards. 

§ Print reports to PDF and deliver to folders on a predetermined schedule 

§ Become familiar with Tableau - our clients, created workbooks, parameters, filters, and databases 

§ QA existing dashboards and look for inconsistencies in naming, filters, charts, tables, etc

 

Note - Looking for Immediate joiner with N.P. of 30 days.

Timing - US shift (6 p.m. - 3.30 a.m.)

Benefits - Transport facility + Night shift Allowance.

Location - Domlur.

Working - 5 days.

 

Reach me ASAP if exploring opportunity with updated resume -

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Thanks and Regards,

M.Swati 

Associate Consultant

 

#intelligenthiring

India | Singapore 

http://www.turtlebowl.com/" target="_blank">www.turtlebowl.com