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Senior Data Engineer

Company: Acxiom
Location: Conway
Posted on: May 23, 2020

Job Description:

At Acxiom, our vision is to transform data into value for everyone. Our data products and analytical services enable marketers to recognize, better understand, and then deliver highly applicable messages to consumers across any available channel. Our solutions enable true people-based marketing with identity resolution and rich descriptive and predictive audience segmentation. We are seeking an authority in Data Engineering with a versatile skill set to undertake data engineering efforts to build the next-generation ML infrastructure for Acxiom's business.

As part of the Data Science and Analytics Team, the Sr. Data engineer will partner with Data Scientists and work hands-on with Big Data technologies and build a scalable infrastructure to support development of machine learning based Audience Propensity Models and solutions for our domestic and global businesses. The Sr. Data engineer's responsibilities include collaborating with internal and external partners to identify data ingestion, processing, ETL, data warehousing requirements and develop appropriate solutions using modern data engineering tools in cloud. We want this person to help us build a scalable data lake and EDW using modern tech stack from the ground up. Success in this role comes from combining a strong data engineering background with product and eye for business to deliver scalable data pipeline and database solutions that can enable & support a high performant, large scale modeling infrastructure at Acxiom. The Sr. Data Engineer will be a champion of the latest Cloud database technologies & data engineering tools and will lead by example in influencing adoption and migration to the new stack.What you will do:


  • Partner with Cloud Architects, Data scientists to drive POCs to build a scalable, next generation model development, model management and governance infrastructure in Cloud
  • Be an inspiring leader and champion for adoption of new cloud-based database technologies and enable migration to new cloud-based modeling stack
  • Collaborate with other data scientists and team leads to define project requirements & build the next generation data source ingestion, ETL, data pipelining, data warehousing solutions in Cloud
  • Build data-engineering solutions by developing strong understanding of business and product data needs.
  • Develop close partnership with internal associates and partners from Engineering, product, and business
  • Build knowledge of the various data sources brought together for audience propensities solutions - survey/panel data, 3rd-party data (demographics, psychographics, lifestyle segments), media content activity (TV, Digital, Mobile), and product purchase or transaction data and develop solutions for seamless ingestion and process of the data
  • Resolves defects/bugs during QA testing, pre-production, production, and post-release patches.
  • Contributes to the design and architecture of services across the data landscape
  • Participation in development of the integration team, contributing to reviews of methodologies, standards, and processes.
  • Comprehensive internal documentation of designs and service components


    What you will need:




    • Background in data pipelining, warehousing, ETL development solutions for data science and other Big Data applications
    • Experience with distributed, columnar and/or analytic oriented databases or distributed data processing frameworks.
    • Minimum of 2 years of experience with Cloud databases - AWS Redshift, Snowflake, Azure SQL database, Google Cloud SQL or similar. Experience with NoSQL databases such as mongoDB, Cassandra or similar
    • Minimum of 3 years of experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases, NoSQL, data lake and data warehouse solutions
    • Minimum of 3 years of hands-on experience in Big Data technologies such as Hadoop, Spark, PySpark, Spark/SparkSQL, Hive, Pig, Oozie and streaming technologies such as Kafka, Spark Streaming Ingestion API, Unix shell/Perl scripting etc.
    • Strong programming skills using Java, Python, PySpark, Scala or similar
    • Experience with public cloud architectures, pros/cons, and migration considerations.
    • Experience with container-based application deployment frameworks (Kubernetes, Docker, ECS/EKS or similar)
    • Experience with Data Visualization tools such as Tableau, Looker or similar
    • Outstanding troubleshooting, attention to detail, and communication skills (verbal/written) in a fast paced setting.
    • Bachelor's Degree in Computer Science or relevant discipline or 7+ years of relevant work experience.
    • Solid communication skills: Proven ability to explain complex technical issues to technical and non- technical audiences.
    • Strong understanding of the Software design/architecture process.
    • Experience with unit testing and data quality checks


      What will set you apart:




      • Ability to work in white space and be able to develop solutions independently.
      • Prior experience with Cloud based ETL tools such as AWS Glue, AWS Data pipeline or similar
      • Experience with building real-time and streaming data pipelines a plus
      • Experience with MLOps tools such as Apache MLFlow/KubeFlow is a plus
      • Exposure to E2E ML platform such as AWS Sagemaker, Azure ML studio, Google AI/ML, Datarobot, Databricks or similar a plus
      • Experience with ingestion, processing and management of 3rd party data

        We believe in building an awesome workplace where associates feel engaged and want to come to work every single day. It's important to Acxiom that we invest in our culture and promote a healthy work-life balance, even when our associates are at work.

        As a part of our team, you will join a fast-moving, dynamic, "get stuff done" culture we empower our people to do their jobs. You will always be guided to do what's right, legally and morally for our customers. At Acxiom, we believe in exceptionalism- we intend to be the absolute best in everything we do.Acxiom is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, disability, sexual orientation, gender identity, genetics or other protected status. #GD17

        Primary Location City/State:Austin, TexasAdditional Locations (if applicable):ConwayAcxiom is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, disability, sexual orientation, gender identity, genetics or other protected status.

Keywords: Acxiom, Conway , Senior Data Engineer, Engineering , Conway, Arkansas

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