Big Data Engineer

Job Description:

• 3 - 4 years of hands-on Python programming & libraries like PyData, Pandas
• Exposure to Mongo DB
• Experience in writing Unit Test cases
• Expertise in writing medium/advanced SQL Database queries
• Strong Verbal/Written communication skills
• Ability to work with onsite counterpart teams

• Timely preparation and implementation of training calendar on monthly and annual basis
• Identifying the training needs of the employees and nominating for the suitable programs
• Timely nominations for all training programs (Internal & External) and making arrangements/ communication/ coordination
• Organizing induction training programs
• Conducting training programs for front line employees by aligning organizations’ learning strategy with business objectives
• Preparing monthly and annual training MIS and maintaining record of all trainings in HRMS/ERP

What you must have:

• Strong communication and presentation skills
• Ability to research and develop training material
• Excellent time management, problem solving, organization and leadership skills
• Good command over MS office tool
• Knowledge of various tools/ aids used in training     

Introduction

We are looking to empanel a Paid Ads Specialist to lead and execute performance marketing strategies and campaign plans for our clients. We work with exciting brands and organizations that we have fallen hopelessly in love with. To these partnerships, we bring truckloads of passion and oodles of weirdness. To top it all off, we ensure everything we do is meaningful.

We are looking for teammates who are:

• As 'weird' as possible - someone who is itching to change the status quo, to take risks, to build a story that everyone talks about, and to make everyone sit up and take notice
• Always keeping an eye out for never compromising on 'meaningfulness' - every campaign, every strategy, every creative idea should never be superficial beyond a degree and should work towards genuinely and meaningfully connecting with audiences

“Weird + Meaningful” is our core belief, and we are craving to find people who really get it. You can know more about this in this https://www.youtube.com/watch?v=OcIGKxsDVpY">Ted talk by our founder

Responsibilities

• Developing and managing digital prospecting and remarketing campaigns
• Managing budgets and campaigns across all digital channels to drive strong return on investment and efficient CACs
• Ensuring successful planning, execution, optimization for key traffic KPIs via paid, organic & owned media channels
• Should be comfortable handling all types of campaigns on Google, Instagram, Facebook, YouTube, LinkedIn, and Amazon
• Should be able to audit, analyze, and advise on the creation and optimization of landing pages for conversion
• Should be able to set up pixels and guide/support the client in CRM integration for lead tracking
• Identifying, testing, and developing capabilities of executing campaigns on new channels to continue to meet or exceed established critical metrics
• Conduct A/B and other tests and work closely with the lead, the designers, and copywriters to ensure impactful optimization of campaigns
• Working closely with the management to share funnel conversion improvement ideas, feedback & present results
• Suggest new tricks in the industry, keep track of developments and discover new tools that would drive more results

Knowledge & Skills

• Proven relevant work experience of at least 3 years
• You have a bachelor's degree in Marketing, Business Administration, or related fields (preferred)
• It is a plus if you also have experience in executing effective multi-channel marketing campaigns, including affiliate marketing, PPC, SEO, social media, and other digital channels
• You have solid expertise in campaign and channel analysis and reporting, including Google Analytics experience
• You have experience in setting up pixels, optimizing landing pages, and guiding/supporting the client in CRM integration
• You possess excellent analytical skills and leverage data, metrics, analytics, and consumer behaviour trends to drive actionable insights & recommendations
• You are a highly goal-oriented individual and have excellent communication skills
• You are open-minded, curious, and a strong problem solver

• Developing telemetry software to connect Junos devices to the cloud
• Fast prototyping and laying the SW foundation for product solutions
• Moving prototype solutions to a production cloud multitenant SaaS solution
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Build analytics tools that utilize the data pipeline to provide significant insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with partners including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics specialists to strive for greater functionality in our data systems.

Qualification and Desired Experiences

• Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• 5+ years experiences building data pipelines for data science-driven solutions
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Good team worker with excellent interpersonal skills written, verbal and presentation
• Create and maintain optimal data pipeline architecture,
• Assemble large, sophisticated data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Experience with AWS, S3, Flink, Spark, Kafka, Elastic Search
• Previous work in a start-up environment
• 3+ years experiences building data pipelines for data science-driven solutions
• Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• We are looking for a candidate with 9+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Proven understanding of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and interpersonal skills.
• Experience supporting and working with multi-functional teams in a multidimensional environment.