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    Job Source: Apexon

Senior Data Engineer

Dallas, TX, United States

About Apexon:

Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients’ toughest technology problems, and a commitment to continuous improvement. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents.

Job Overview

We are looking for a Data Engineer to join our fast growing team. This person will be responsible for expanding and optimizing our current cloud based data pipeline architecture for the various cross functional teams. The ideal candidate has experience building robust data pipelines and reporting tools. However, someone with a strong application development background with keen interest in data engineering would be considered. The candidate will be collaborating extensively with Engineering, Analytics and Product teams to support functional use-cases and take data driven decisions.

Who we are looking for

Strong background in data processing & software engineering and can build high-quality, scalable data oriented products.

Industry experience working with distributed data technologies (e.g. Hadoop, MapReduce, Spark, EMR, etc..) for building efficient, large-scale data pipelines.

Strong Software Engineering experience with in depth understanding of Python, Scala, Java or equivalent

Strong understanding of data architecture, modeling and infrastructure

Experience with building workflows (ETL pipelines)

Experience with SQL and optimizing queries

Problem solver with attention to detail who can see complex problems in the data space through end to end

Willingness to work in a fast paced environment

MS/BS in Computer Science or relevant industry experience.

Strongly recommended (but optional) Experience building scalable applications on the Cloud (Amazon AWS, Google Cloud, etc..)

Experience building stream-processing applications (Spark streaming, Apache-Flink, Kafka, etc..)

Experience with Databricks and Snowflake

Our Commitment to Diversity & Inclusion: Did you know that Apexon has been Certified by Great Place To Work, the global authority on workplace culture, in each of the three regions in which it operates: USA (for the fourth time in 2023), India (seven consecutive certifications as of 2023), and the UK.Apexon is committed to being an equal opportunity employer and promoting diversity in the workplace. We take affirmative action to ensure equal employment opportunity for all qualified individuals. Apexon strictly prohibits discrimination and harassment of any kind and provides equal employment opportunities to employees and applicants without regard to gender, race, color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. You can read about our Job Applicant Privacy policy here Job Applicant Privacy Policy (apexon.com)

Our Perks and Benefits:

Our benefits and rewards program has been thoughtfully designed to recognize your skills and contributions, elevate your learning/upskilling experience and provide care and support for you and your loved ones. As an Apexer, you get continuous skill-based development, opportunities for career advancement, and access to comprehensive health and well-being benefits and assistance.

We also offer:

o Health Insurance with Dental & Vision

o 401K Plan

o Life Insurance, STD & LTD

o Paid Vacations & Holidays

o FSA Dependent & Limited Purpose care

Senior Data Engineer Job at Apexon About Apexon:

Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients’ toughest technology problems, and a commitment to continuous improvement. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents.

Job Overview

We are looking for a Data Engineer to join our fast growing team. This person will be responsible for expanding and optimizing our current cloud based data pipeline architecture for the various cross functional teams. The ideal candidate has experience building robust data pipelines and reporting tools. However, someone with a strong application development background with keen interest in data engineering would be considered. The candidate will be collaborating extensively with Engineering, Analytics and Product teams to support functional use-cases and take data driven decisions.

Who we are looking for

Strong background in data processing & software engineering and can build high-quality, scalable data oriented products.

Industry experience working with distributed data technologies (e.g. Hadoop, MapReduce, Spark, EMR, etc..) for building efficient, large-scale data pipelines.

Strong Software Engineering experience with in depth understanding of Python, Scala, Java or equivalent

Strong understanding of data architecture, modeling and infrastructure

Experience with building workflows (ETL pipelines)

Experience with SQL and optimizing queries

Problem solver with attention to detail who can see complex problems in the data space through end to end

Willingness to work in a fast paced environment

MS/BS in Computer Science or relevant industry experience.

Strongly recommended (but optional) Experience building scalable applications on the Cloud (Amazon AWS, Google Cloud, etc..)

Experience building stream-processing applications (Spark streaming, Apache-Flink, Kafka, etc..)

Experience with Databricks and Snowflake

Our Commitment to Diversity & Inclusion: Did you know that Apexon has been Certified by Great Place To Work, the global authority on workplace culture, in each of the three regions in which it operates: USA (for the fourth time in 2023), India (seven consecutive certifications as of 2023), and the UK.Apexon is committed to being an equal opportunity employer and promoting diversity in the workplace. We take affirmative action to ensure equal employment opportunity for all qualified individuals. Apexon strictly prohibits discrimination and harassment of any kind and provides equal employment opportunities to employees and applicants without regard to gender, race, color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. You can read about our Job Applicant Privacy policy here Job Applicant Privacy Policy (apexon.com)

Our Perks and Benefits:

Our benefits and rewards program has been thoughtfully designed to recognize your skills and contributions, elevate your learning/upskilling experience and provide care and support for you and your loved ones. As an Apexer, you get continuous skill-based development, opportunities for career advancement, and access to comprehensive health and well-being benefits and assistance.

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