| : Role: Analytics Data Engineer || Location: Onsite in (NYC,NY OR Collegeville, PA Or Lake Forest, IL Or Boulder, CO Or San Francisco, CA ) Need Local Only with DL || Visa: USC and GC - Only || Must Have : 10+ Years at Forest, Virginia, USA |
| Email: [email protected] |
| Hi, Hope you are doing great! Please find the requirement below , If you find yourself comfortable with the requirement please reply back with your updated resume and I will get back to you or I would really appreciate. Role: Analytics Data Engineer Location: Onsite in ( NYC,NY OR Collegeville, PA Or Lake Forest, IL Or Boulder, CO Or San Francisco, CA )Need Local Only with DL Visa: USC and GC - Only Duration: 12+ Months Interview: Phone and video Must Have : 10+ Years LinkedIn(Make sure consultant LinkedIn match with resume), SSN, DOB NYC,NY OR Collegeville, PA Or Lake Forest, IL Or Boulder, CO Or San Francisco, CA Consultant must be 60 Minutes of running distance or less The ideal candidate is a self-motived teammate, skilled in a broad set of data processing techniques with the ability to adapt and learn quickly, provide results with limited direction, and choose the best possible data processing solution is a must. Role Responsibilities: Reporting to the head of Analytics Engineering this person will collaborate with data scientists, reporting/data visualization specialists, business, marketing teams all working together to identify requirements that will derive the creation of data pipelines and other data products. You will work closely with the Digital team to understand the architecture and internal APIs involved in upcoming and ongoing projects. We are seeking an outstanding person to play a pivotal role in helping the analysts & business users make decisions using data and visualizations. You will partner with key partners across the business, data science & marketing teams as you design and build query friendly data structures. Translate business requirements by business team into data and engineering specifications Build scalable data sets based on specifications from the available raw data and derive business metrics/insights Understand and Identify server APIs that needs to be instrumented for data analytics and align events for execution in already established data pipelines Explore and understand sophisticated data sets, identify and formulate correlational rules between heterogenous sources for effective analytics and reporting Process, clean and validate the integrity of data used for analysis Develop Python and Shell Scripts for data ingestion and stitching from external data sources for business insights Partner with data scientists to build scalable modeling features pipeline Work closely with analytics and data science teams to develop robust data pipeline and analytics visualization PREFERRED CANDIATE LOCATION: NYC, Collegeville PA, Lake Forest IL, Boulder CO, San Francisco) BASIC QUALIFICATIONS: 10 + years of overall experience with in a technical environment, 7+ years of experience as a Data Engineer, must have a bachelor degree Must have a bachelor degree - preferably in engineering, economics, statistics, computer science, or related quantitative field. Relevant professional experience with Big Data systems, pipelines and data processing Preferred experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field data engineering skillset, building pipelines, ETL, automating experimentation from data science teams. End to end, starting from source system to pipeline is important . Practical hands-on experience with technologies like Apache Hadoop, Apache Pig, Apache Hive, Apache Sqoop & Apache Spark Experience working in Dataiku is a plus but not required Ability to understand API Specs, identify relevant API calls , extract data and implement data pipelines & SQL-friendly data structures Identify Data Validation rules and alerts based on data publishing specifications for data integrity and anomaly detection Understanding on various distributed file formats such as Apache AVRO, Apache Parquet and common methods in data transformation Expertise in Python, Unix Shell scripting and Dependency driven job schedulers Expertise in Core JAVA, Oracle, Teradata and ANSI SQL Familiarity with rule based tools and APIs for multi stage data correlation on large data sets is a plus! Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact. Thanks And Regards Khokan Kaviraj Email: [email protected] Hangout: [email protected] Linked In: https://www.linkedin.com/in/khokan-kaviraj-582655166/ Accroid Inc. 1007 Orange ST 4th FL 1651 Wilmington, DE 19801 -- Keywords: information technology green card California Colorado Delaware Florida Illinois New York Pennsylvania : Role: Analytics Data Engineer || Location: Onsite in (NYC,NY OR Collegeville, PA Or Lake Forest, IL Or Boulder, CO Or San Francisco, CA ) Need Local Only with DL || Visa: USC and GC - Only || Must Have : 10+ Years [email protected] |
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| Tue Apr 16 23:27:00 UTC 2024 |