Come Join Our Team At Anteriad and innovate the way B2B marketers make data-driven business decisions.
About Anteriad
We are not just another B2B solution provider. We're problem solvers. We believe that data is the key to unlocking effective solutions that span a range of marketing challenges - from customer acquisition to demand generation to account-based marketing. Data is at the core of everything we do. Our team works tirelessly to create powerful solutions that drive real results for our clients. Whether it's through innovative technology or deep analysis, we're committed to finding the best path to growth for every one of our customers.
Why Join Our Data Engineering Team?
Work with a collaborative team and provide top-rated solutions to Fortune 500 companies. This is an exciting opportunity for an intelligent, energetic, and self-motivated individual.
As part of the Data Engineering team, you will be utilizing enough knowledge and skills to effectively deal with issues and challenges within field of specialization to develop intermediate to complex Data solutions
Anteriad means “always moving forward” and we apply that to our company culture by tirelessly promoting an environment that allows our employees to thrive:
- Training & Development with unlimited access to Cornerstone Learning System
- Steady, Full-Time Role
- Mix of Collaborative & Independent Work
- Community Outreach via Anteriad Cares encouraging taking time to volunteer
- Professional Mentoring Program. Career guidance from leadership
- Employee Resource Groups. Collaborate with others that share your passions!
- Great Benefits for you and your family
Benefits We Bring To You:
- General Medical Coverage for employees and family
- Personal Accident insurance
- Employee Term Life Insurance
What You’ll Do:
- Develop data management processes as per defined requirements and restful API to expose data management processes to external application calls
- Maintaining and supporting existing data management applications
- Developing complex queries to support sales and operations business requests
- Need to prepare various analytical reports for management and clients .
What You’ll Bring:
Required:
- Bachelor’s degree in Computer Science or similar field of study
- 2+ years of experience in Big data Technologies like:
- Hive
- Spark
- Hadoop
- HBase
- Proficient in shell script and programming languages:
- Java
- Python
- C++
- Experience in ETL process from flat files or legacy database to SQL or Columnar DBMS database like (ClickHouse)
- Working experience with - cloud DB (Redshift/Google BQ)
- Proficient in data structures & algorithms and logical Database Modelling as per the business requirement
- Working knowledge on ML tools like:
- Spark
- MLlib
- AutoML
- IBM Watson
- Tensorflow
- Scikit
- MLPack
- Rapid Miner
- Apache Mahout
Nice to Have
- General cloud environment AWS Cloud, Google Cloud.
Our Values:
- Lead & Learn We lead with unrivaled vision, innovation and execution, always learning and embracing new ways of doing things to stay out in front
- Collaborate & Celebrate We build great things when we work together as one Anteriad team, celebrating our achievements – both great and small – along the way
- Innovate & Inspire We are always looking for bold new ways to exceed the expectations of our customers and to inspire each other to even greater success
- Do More & Do Good We go above and beyond in the service of our clients and colleagues, and the communities where we live
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What We Do
Data Driven.
Tech Enabled.
Growth Obsessed.
Anteriad powers B2B with the industry’s leading data: purpose built, highly-trusted, compliant, campaign ready and with global reach. Providing B2B marketing leaders with depth and scale as well as hyper granularity.
The most demanding B2B and enterprise technology CMOs rely on us to get ahead with our wholistic full funnel approach to the identification of targeted audiences and the delivery of integrated, multi-channel campaigns across traditional and digital media while being accountable for performance and the results we achieve.
