Sales executive

• The entire development lifecycle of all our consumer applications
• Working closely with the Product, QA, UX & Engineering teams on strategy, solutioning and execution.
• Managing everyday activities of the consumer engineering team
• Working closely with the core platform engineering teams to design seamless integration
• Owning management and execution of features and ensure delivery timelines
• Building & mentoring the consumer engineering team
• Working with the overall leadership team in creating and driving the company vision and it’s goals

• 8+ years of experience designing and developing complex, interactive consumer applications
• Working with / managing both mobile and web applications
• Ability to present complex technical information clearly and concisely to a variety of audiences

Senior Data Engineer

Responsibilities:

●      Clean, prepare and optimize data at scale for ingestion and consumption by machine learning models

●      Drive the implementation of new data management projects and re-structure of the current data architecture

●      Implement complex automated workflows and routines using workflow scheduling tools 

●      Build continuous integration, test-driven development and production deployment frameworks

●      Drive collaborative reviews of design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards 

●      Anticipate, identify and solve issues concerning data management to improve data quality

●      Design and build reusable components, frameworks and libraries at scale to support machine learning products 

●      Design and implement product features in collaboration with business and Technology stakeholders 

●      Analyze and profile data for the purpose of designing scalable solutions 

●      Troubleshoot complex data issues and perform root cause analysis to proactively resolve product and operational issues

●      Mentor and develop other data engineers in adopting best practices 

●      Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders

Qualifications:

●      8+ years of experience developing scalable Big Data applications or solutions on distributed platforms

●      Experience in Google Cloud Platform (GCP) and good to have other cloud platform tools

●      Experience working with Data warehousing tools, including DynamoDB, SQL, and Snowflake

●      Experience architecting data products in Streaming, Serverless and Microservices Architecture and platform.

●      Experience with Spark (Scala/Python/Java) and Kafka

●      Work experience with using Databricks (Data Engineering and Delta Lake components) 

●      Experience working with Big Data platforms, including Dataproc, Data Bricks etc

●      Experience working with distributed technology tools including Spark, Presto, Databricks, Airflow

●      Working knowledge of Data warehousing, Data modeling

●      Experience working in Agile and Scrum development process

●      Bachelor's degree in Computer Science, Information Systems, Business, or other relevant subject area

Role:

Senior Data Engineer

Total No. of Years:

8+ years of relevant experience 

To be onboarded by:

Immediate

Notice Period:

Skills

Mandatory / Desirable

Min years (Project Exp)

Max years (Project Exp)

GCP Exposure 

Mandatory Min 3 to 7

BigQuery, Dataflow, Dataproc, AI Building Blocks, Looker, Cloud Data Fusion, Dataprep .Spark and PySpark

Mandatory Min 5 to 9

Relational SQL

Mandatory Min 4 to 8

Shell scripting language 

Mandatory Min 4 to 8

Python /scala language 

Mandatory Min 4 to 8

Airflow/Kubeflow workflow scheduling tool 

Mandatory Min 3 to 7

Kubernetes

Desirable 1 to 6

Scala

Mandatory Min 2 to 6

Databricks

Desirable Min 1 to 6

Google Cloud Functions

Mandatory Min 2 to 6

GitHub source control tool 

Mandatory Min 4 to 8

Machine Learning

Desirable 1 to 6

Deep Learning

Desirable Min 1to 6

Data structures and algorithms

Mandatory Min 4 to 8

Responsibilities::

• Plan and execute all digital marketing strategy including SEO/SEM, marketing database, email, social media and campaign management for Tactic Solutions

• Responsible to generate the inbound lead for our IT services.

• Design, build and maintain our social media presence

• Measure and report performance of all digital marketing campaigns, and assess against goals (ROI and KPIs)

• Brainstorm new and creative growth strategies Plan, execute, and measure experiments and conversion tests

• Utilize strong analytical ability to evaluate end-to-end customer experience across multiple channels and customer touch points

• Website management using Google Webmaster & Analytics

• SEO, SEM, SMM activities including Blogs and articles

• Preparing detailed strategy reports

• Identifying powerful keywords to drive the most valuable traffic

• Filling websites and other content with effective keywords

• Writing effective SEO content for blogs, websites and social media accounts

• Developing link building strategies

• Analysing keywords and SEO techniques used by competitors

• Compiling and presenting SEO guidelines

• Perform competitive analysis and identify gaps in our content or areas of improvement in our web design

• Track important SEO metrics including organic traffic, conversion rates and time spent on page

• Report on performance metrics comparing them to our SEO goals and benchmarking data

• Follow SEO trends and stay up-to-date with new tools and practices

Skills::

• MARKETING STRATEGY

• SEO

• SMO

• DIGITAL MARKETING

• SOCIAL MEDIA

• MARKET RESEARCH

• SOCIAL STUDIES

Website - https://praxinfo.com/">https://praxinfo.com/