In this role, we are seeking a data engineer to design, implement, and optimize cloud-based data
pipelines using Microsoft Azure services including ADF, Synapse, and ADLS.

Responsibilities :

- Collaborate with our business analytics and data science teams, gathering requirements and
delivering complete business intelligence solutions

- Mentor junior software developers and build a strong team

- Model data and metadata to support discovery, ad-hoc, and pre-built reporting

- Design and implement data pipelines using Hadoop, Spark, and Azure services such as Blob
Storage, SQL Database, Event Hubs, Data Factory, Synapse Analytics, and Databricks

- Should be able to write Programs & Scripting, Strong in SQL, Proficiency in Python or Scala.
Experience with PowerShell or Azure CLI for automation is a plus

- Partner with security, privacy, and legal teams to deliver solutions that comply with security and
privacy policies

- Own the design, development, and maintenance of datasets our business analytics teams will
use to drive key business decisions

- Develop and promote standard methodologies in data engineering, including scalability,
reusability, maintainability, and usability

- Tune and ensure compute performance by optimizing queries, databases, files, tables, and
processes

- Ensure data and report service level agreements are met

- Analyze and solve problems at their root, stepping back to understand the broader context

- Own continuous engineering operational excellence of the datasets that drive key business
decisions

- Learn and understand a broad range of data resources and know when, how, and which to use
and which not to use

- Keep up to date with advances in big data technologies and run pilots to design the data
architecture to scale with increased data volume using Azure

- Continually improve ongoing reporting and analysis processes, automating or simplifying
self-service support for datasets

- Triage many possible courses of action in a high-ambiguity environment, making use of both
quantitative analysis and business judgment

Qualifications we seek in you!

Minimum Qualifications / Skills

- Bachelors degree in computer science or related technical field

- 10+ years of experience in data architecture and business intelligence

- 5+ years of experience in developing solutions in distributed technologies such as Hadoop, Spark

- Experience in delivering end-to-end solutions using Azure services Blob Storage, SQL Database,
Event Hubs, Data Factory, Synapse Analytics, and HDInsight

- Experience in programming using Python, Java, or Scala

- Expert in data modeling, metadata management, and data quality

- SQL performance tuning

- Strong interpersonal and multitasking skills with the ability to balance competing priorities

- Excellent communication (verbal and written) and interpersonal skills and an ability to effectively
communicate with both business and technical teams

- An ability to work in a fast-paced ambiguous environment where continuous innovation is
occurring

- Experience with a business intelligence reporting tool

Preferred Qualifications/Skills :

- Experience with Data bricks for advanced analytics and data processing

- Understanding of well-architected data pipeline designs

- Expertise in monitoring and fault-tolerant pipeline designs

- Knowledge of cluster configuration for optimal performance

- Ability to create cost-optimal solutions

- Experience in exploratory data analysis (dashboarding, plotting) using machine learning
technologies and algorithms is desirable

- Good knowledge of standard machine learning techniques (like regression, classification,
anomaly detection, forecasting) by using standard machine learning libraries part of Spark,
Python is desirable

- Prior experience in gen AI and related tools and techniques (such as large language models,
prompt engineering) is desirable

- Having a relevant Azure certification (architecture/data/machine learning) is desirable