What are the responsibilities and job description for the Senior Data Engineer position at MW Partner?

MW Partners is currently seeking a Senior Data Engineer to work for our client who is a leader in the media and entertainment industry.

Responsibilities and duties :

Build and maintain highperformance data pipelines that enable deeper analysis reporting and insights across the business.
Design and implement largescale data structures that support analytics and data science needs optimizing for speed scalability and reliability.
Create seamless data ingestion processes (both realtime and batch) using modern ETL / ELT practices leveraging cloud technologies and big data tools to ensure smooth data flow.
Collaborate with business teams to understand needs and translate them into flexible scalable data solutions that grow with the company.
Work alongside engineers to establish best practices for data system creation ensuring data quality integrity and proper documentation throughout.
Continuously improve reporting and analysis by automating processes streamlining workflows and empowering teams with selfservice data tools for easy access to insights.
Partner with senior leadership to stay aligned on business objectives provide regular updates and make datadriven decisions to drive progress.
Be the subject matter expert in your area understanding the ad tech landscape and identifying ways to leverage Clients unique position in the market.
Take the initiative to identify troubleshoot and resolve challenges that could hinder progress on strategic goals ensuring the team remains on track to meet both technical and business objectives.

Requirements :

Bachelor of Engineering in Computer Science or equivalent preferred.

7 years of experience designing and implementing data warehouse solutions focusing on scalability and performance.

7 years of experience writing complex SQL queries and developing robust ETL / ELT pipelines to transform and integrate data.

7 years of programming experience in languages like Python focusing on building scalable and efficient solutions.

Extensive experience in building and optimizing APIs containerization and orchestration with Kubernetes to ensure scalable highperformance data systems.

Handson experience with Cloud data warehouses (ideally with Snowflake Google BigQuery or AWS Redshift).

Proficient in cloud technologies such as GCP or AWS.

Experience leading and collaborating with agile teams utilizing tools like Jira and Confluence to drive usercentered and iterative development processes.

Expertise in creating reports and dashboards using tools like Tableau Looker or Power BI to enable insightful decisionmaking.

Deep knowledge of identity management data privacy audience targeting crossdevice graphs and related technologies.

Solid understanding of digital advertising technology including ad serving analytics DSP DMP SSP QA and targeting.

Soft Skills :

Strong crossfunctional collaboration skills with experience working in complex organizations and aligning teams on data product decisions and tradeoffs.

Exceptional communication skills capable of breaking down complex technical concepts and clearly communicating them to stakeholders.

Passionate about working with large datasets skilled at spotting trends and deriving actionable insights to drive business decisions.

A quick learner adept at grasping both business and technical needs to deliver impactful solutions.

For a confidential discussion or to find out more contact Indu Sri onor apply now.

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full Time

Experience : years

Vacancy : 1

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