Location: Dallas, TX
Company: Aquent Talent
Dev Sec Ops, and continuous innovation. This individual contributor role requires working with cross-functional teams across the company to ensure the big data platform is built for adoption with high standards of performance and scalability while optimizing the cost and using emerging technologies in the Data universe.
Reporting to the Data Engineering Lead, the person in this role will support the Data and Analytics department's objective to enable data-driven decision-making in our journey towards creating mobility for all. What you'll be doing Designed and developed highly scalable and state-of-the-art Big Data solutions in AWS and GCP to enable advanced analytics capabilities in
the company. Designed and built scalable data infrastructures required for optimal extraction, transformation, and loading (ELT, ETL) of data from various data sources using Big Data and Integration technologies.
Develop data models and features required for data scientists to build data science models. Perform design, part, and code reviews to drive excellence in engineering and ensure high quality & maintainability. Support the build of analytics tools that utilize the data pipeline to provide actionable insights for businessstakeholders, including data preparation for predictive and prescriptive modeling. Be current on the latest industry developments and trends to help lead the development
of system/process improvements. Collaborate with product owners, data scientists, platform teams, business SMEs, and different sub-groups within thedata organization to effectively lead data and analytics solutions.
What you bring Bachelor's degree in information systems, Computer Science, or related discipline or equivalent work experience Five years of demonstrated experience in developing big data solutions that support business analytics and data science teams. Eight or more years of proficient experience developing data platforms, data warehouses, ETL/ELT pipelines, andprogramming in SQL, Python, Java, Scala-Spark, Bash, and other scripting languages.
Strong knowledge and hands-on experience in Big Data technologies in the Cloud, such as AWS EMR, Apache Spark, Databricks, AWS Redshift, Snowflake, S3, GCP Big Query, Google Cloud Storage, and Google Data Proc Competent with various batch & real-time streaming ingestion patterns with Sqoop, Kafka, Kinesis, GCP Pub/Sub Proven knowledge in cloud engineering (Terraform, Cloud Formation) and provisioning Lambda, SNS, EC2, Airflow, Elastic Cache, Redis, and RESTful APIs in AWinteractionperience with Dev Ops methodology and automation experience with Jenkins, Ansible, Chef, XL Release, and XL Deploy Strong written and verbal communication skills with the ability to create and present concepts, roadmaps, and recommendations to executive management.
Added Bonus If You Have Master's degree in computer science or related discipline AWS/GCP cloud certifications AWS/GCP Data Engineering certificationinteractionperience with Automobile and Manufacturing organizations The target hiring compensation range for this role is the equivalent of $80 to $100 an hour. Compensation is based on several factors including, but not limited to education, relevant work experience, relevant certifications, and location.
Additional benefits offered may include; medical health insurance and dental insurance, life insurance, and eligibility to participate in 401k plan with company match. PDN-9acbb48d-0d8c-4ca2-a540-a0d1ff2f4a81
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