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Job Description- Data Engineer
Kantar is the world's leading AI-native marketing data and analytics business and an indispensable brand partner to the world's top companies. We combine the most meaningful attitudinal and behavioural data with deepexpertiseand advanced analytics to uncover how people think and act. We help clients understand what has happened and why and how to shape the marketing strategies that shape their future.
In recent years, the market research industry has faced increasing threats from online fraud, particularly in incentivised markets. Fraudsters attempt to exploit survey systems for financial gain, and their tactics are constantly evolving. At Kantar, we are committed to staying ahead of these threats by investing in advanced data science solutions and fraud detection technologies.
This is a high-impact role with the opportunity to collaborate directly with Operational, Commercial, and Data Science teams. You'll be part of a talented team of analysts, scientists, engineers, and developers, working on mission-critical systems that support our global research operations.
What You'll Do
Working with the existing Data Science team, you will maintain and help evolve the data ecosystem to maintain Kantar's ability to ward off fraud, make data led decisions and reduce operational cost.
What You'll Bring
Our Tech Stack
Why Join Us
At Kantar, you'll be part of a global leader in data, insights, and consulting. You'll work on meaningful challenges, contribute to cutting-edge solutions, and help shape the future of market research. We offer a collaborative environment, opportunities for growth, and the chance to make a real impact.
Location
Hyderabad, International Tech ParkIndiaKantar Rewards Statement
At Kantar we have an integrated way of rewarding our people based around a simple, clear and consistent set of principles. Our approach helps to ensure we are market competitiveand alsoto support a pay for performance culture, where your reward and career progression opportunities are linked to what you deliver.
We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. Apply for a career that's out of the ordinary and join us.
We want to create an equality of opportunity in a fair and supportive working environment where people feel included, accepted and are allowed to flourish in a space where their mental health andwell beingis taken into consideration.
We want to create a more diverse community to expand our talent pool, be locally representative, drive diversity of thinking and better commercial outcomes.
Kantar is the world's leading data, insights and consulting company. We understand more about how people think, feel, shop, share, vote and view than anyone else. Combining our expertise in human understanding with advanced technologies, Kantar's 30,000 people help the world's leading organisations succeed and grow.
Kantar Group is a data analytics and brand consulting company, based in London, England. It was founded in 1992, and has approximately 30,000 employees in 100 countries working in various research disciplines, including social media monitoring, advertising effectiveness, consumer and shopper behaviour, and public opinion.
Job ID: 149048491
Skills:
Spark SQL, Pyspark, Data Warehousing, Kafka, Data Modeling, Sql, Git, Azure Data Factory, Databricks, Azure, Python, Azure DevOps, Spark Structured Streaming, Azure Data Lake Storage ADLS Gen2, cloud cost optimization, streaming technologies, CI CD pipelines, Delta Lake, Azure Event Hubs
Skills:
Apache Spark, Azure Databricks, Sql, Apache Airflow, Terraform, Azure Synapse Analytics, Microsoft Azure, Python, Apache Iceberg, Google BigQuery, GCP Cloud Dataproc, GCP Cloud Composer, dbt, Delta Lake
Skills:
S3, Blob, Data Modeling, Sql, ELT, Query Optimization, Gcp, Apache Kafka, Cloud Storage, Azure, Python, AWS, Etl, batch streaming architectures, StreamSets, Relational Databases, GCS
Skills:
Pyspark, Apache Spark, Databricks, Azure, Sql, Google Cloud, Python, AWS, Azure Dev Ops
Skills:
data engineering , snowflake , Sql, ETL/ELT, AI/ML
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