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eTeam
Irving, TX, United States
Scala ,Python, PySpark, Kudo ,Kafka and Data Engineering background "Experience in data engineer , Data Analytics; Big Data Technologies Expert in Python. (Developer level Expertise expected), Programming experience in Python, R programming , Algorithms Spark, Kafka Good experience in the Data Models for Client; Reporting, Dash boarding; Client to
Job Source: eTeamHigh 5
Irving, TX, United States
Data Engineer - day one onsite location is Irving, TX 75039. Candidate must have strong in SQL Should have Python scripting work expr Should have Pyspark scripting work expr Should have ETL background - Not specific to Informatica, Any ETL skills set will work Cloud - Experience (GCP/Azure if any) Domain - healthcare would be added advantage Must
Job Source: High 5Salesforce
Dallas, TX, United States
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Were Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companie
Job Source: SalesforceZendr
Dallas, TX, United States
One of our top clients, a multinational consulting firm, is looking to add experienced Data Engineers to work within their Financial Services Division. If your skills, experience, and qualifications match those in this job overview, do not delay your application. Requirements:3-5+ years of experience in Data EngineeringExperience with Big Data te
Job Source: ZendrLTK USA
Dallas, TX, United States
Position Title: Data Engineer About the role: LTK is the largest influencer-driven platform used by millions of shoppers every month to find new styles and products curated by influencers all over the world. As a Data Engineer , you will be part of a growth-hungry, acceleration-minded team of problem-solvers and product-builders. This is an opp
Job Source: LTK USAAustin Industries
Dallas, TX, United States
Austin Industries is one of the nation’s largest, most diversified U.S.-based construction companies. With more than 7,000 employee-owners, Austin Industries provides nearly every type of civil, commercial and industrial construction services through the expertise of our operating companies: Austin Bridge & Road, Austin Commercial and Austin Indust
Job Source: Austin IndustriesCVS Health
Irving, TX, United States
Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that h
Job Source: CVS HealthWalmart
Dallas, TX, United States
Our organization, i.e., Enterprise Business Services – Global Governance -Digital Citizenship Tech focuses on managing and delivering world-class products, driving policy compliance, creating partnerships, and developing pipelines and self-service tools. Responsible for Global Privacy Technology Product implementation(s) so that we can earn custome
Job Source: WalmartDallas, TX, United States
Wiliot was founded by the team that invented one of the technologies at the heart of 5G. Their next vision was to develop an IoT sticker, a computing element that can power itself by harvesting radio frequency energy, bringing connectivity and intelligence to everyday products and packaging, things previously disconnected from the IoT. This revolutionary mixture of cloud and semiconductor technology is being used by some of the world’s largest consumer, retail, food, and pharmaceutical companies to change the way we make, distribute, sell, use, and recycle products. We’re driven by our passion for sustainability, ESG and waste reduction.
Our investors include Softbank, Amazon, Alibaba, Verizon, NTT DoCoMo, Qualcomm and PepsiCo.
We are growing fast and need people that want to be part of the journey, commercializing Sensing as a Service and enabling “Intelligence for Everyday Things”.
We are seeking an experienced data engineer to join our team and evolve our data and ML infrastructure. You will play a crucial role in bridging the gap between our clients, data science, data analytics, platform, and cloud teams. You will collaborate closely to understand their data requirements, design, and implement scalable data solutions, and provide ongoing support to ensure successful integration and utilization of our IoT products. You will be responsible for managing data pipelines, optimizing data workflows, and transforming raw data into structured data solutions.
Responsibilities:
Develop machine learning applications according to requirements
Partner with data scientists to co-deliver data products
Engage directly with clients to understand their data needs and provide data engineering expertise.
Collaborate with cross-functional teams to design and implement data pipelines that meet client requirements and align with Wiliot's infrastructure.
Develop efficient data workflows to enable seamless data ingestion, transformation, storage, and retrieval.
Implement data quality rules/checks, data validation, and monitoring processes to ensure data integrity and accuracy.
Troubleshoot data-related issues and provide timely resolution to ensure client satisfaction.
Provide training and documentation to clients on data integration best practices and usage of Wiliot's data products.
Requirements:
Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
Proven experience as a Data Engineer, preferably in a client-facing role.
Strong programming skills in languages such as Python, Java, or Scala.
Proficiency in designing and implementing data pipelines using technologies like Apache Kafka, Apache Spark, or similar frameworks.
Experience in Databricks preferred
Understanding of batch vs streaming based data pipelines and ML models
Familiarity with cloud-based data storage and processing platforms such as AWS, GCP, or Azure.
Experience with SQL and NoSQL databases, data modeling, and database optimization techniques.
Strong communication and interpersonal skills to effectively interact with clients and internal teams.
Ability to manage multiple projects and prioritize tasks in a fast-paced environment.
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Data Engineer jobs in Dallas, TX, United States
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