| Data Engineer OR Analytic Engineer on W2 and (Only Citizens and GC) at Remote, Remote, USA |
| Email: [email protected] |
| From: Austin varma, Eminencets [email protected] Reply to: [email protected] W2 with ETS 100% Remote Role: Data Engineer and Analytic Engineer Client: Pfizer Visa: GC/USC. We would probably want to focus on candidates who do not require sponsorship first. I would not turn away solid candidates who do need sponsorship though. Seems like there are 9 openings for this as it currently sits. We are coming in a bit late to the game, but this seems to be a recurring need and a set interview structure in place to satisfy their need. I think with the volume of openings we can still be competitive and get a couple wins here. Quite a bit of information in the word doc but let me know if you have any questions! Senior Analytics Data Engineer BIOPHARMA 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 BASIC QUALIFICATIONS: Bachelors degree with 7+ years of experience OR Master's Degree with 6+ years of experience OR PhD with 2+ years of experience 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 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 multistage 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. Austin Recruiter 707 403 9692 Eminence Technology Solutions LLC Email: [email protected] Website: www.eminencets.com Keywords: information technology green card wtwo |
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| Thu Jul 20 19:41:00 UTC 2023 |