Talent.com
This job offer is not available in your country.
Data Engineer - Big Data Soltuions

Data Engineer - Big Data Soltuions

Loyalytics AIBangalore
20 days ago
Job description

About Loyalytics :

Loyalytics is a fast-growing Analytics consulting and product organization based out of Bangalore.

We work with large retail clients across the globe helping them monetize their data assets through our consulting assignments and product accelerators.

We are a young dynamic team of 70+ analytics practitioners working on some of the most cutting-edge tools and technologies.

Who We Are :

Technical team : A team full of data scientists, data engineers and business analysts who work with 1M+ data points every day.

Market Size : Massive multi-billion $ global market opportunity.

Leadership : Combined experience of 40+ years of experience in the industry.

Customers : Word-of-mouth and referral-driven marketing to acquire customers like big retail brands in GCC regions like Lulu, GMG, among others (Strong product-market fit).

What makes us stand apart : 7 years old bootstrapped and 90+ people company that is still hiring.

Overview of the Role :

As a Data Engineer, you will serve as the technical expert responsible for design and implementation of BI, Analytics, & Big Data solutions providing high-value, timely analytics, and data solutions to the larger product team.

You will be responsible for verifying requirements, feasibility, estimation, defining design / architecture, developing an implementation plan, providing thought leadership for all data solutions, including designing data solutions that meets and exceed stakeholders expectations.

Requirements Technologies / Skills :

  • 1-3 years building Data Warehouse / Data Lake Architecture and Development.
  • 1-3 years Data Modeling & Flow and Architecture.
  • 1-3 years of on Cloud data solutions like Azure (preferred).
  • Expertise in SQL, Python & Pyspark.
  • Spark based platform such as Databricks experience.
  • Messaging technologies such as Kafka, Event Hub etc.
  • API and client development and deployment experience.
  • Data prep, migration, analysis, gaps, visualization, auditing etc.
  • DevOps tools such as Azure DevOps, Log Analytics, and monitoring.
  • Cluster configurations including scaling, pooling, memory, and cost optimizations.

Essential Competencies :

  • Understanding of core business intelligence / data warehousing technology and best practices : RDBMS, Big Data, Client / Server, OLAP, ML Skills.
  • Experience leading a technical team.
  • Moderate experience with client engagement & aligning them to your ideas / solutions.
  • Ability to analyze, prepare statistical summary, high level insights and identify gaps in data.
  • Critically evaluate and control data quality, security, and privacy in all solutions.
  • Ability to clarify / translate requirements into Epics / Stories & remove ambiguity.
  • Strong documentation and structured communications are a must.
  • Ability to mentor other DE team members.
  • Ability to present and demo to groups / stakeholders of mixed technical ability.

    • ref : hirist.tech)

    Create a job alert for this search

    Big Data Engineer • Bangalore