Data Engineer

4 Months ago • 6-7 Years

Job Description

The Data Engineer will require 6-7 years of experience with strong understanding of Data & Analytics concepts and technologies, including data lakes, Data Pipelines, visualization, and reporting, with a focus on creating business value. The role involves proficiency in big data technologies including AWS Redshift, Spark, Python, complex SQL. Also, experience with Shell scripting, Docker, Kubernetes & AWS and Data pipelines orchestration tools like DataIku, Airflow or Argo Workflows is needed. The engineer should possess strong data analytical and troubleshooting skills with excellent communication skills. The candidate should be customer-focused with a 'service first' mentality and ability to remain calm under pressure.

Good To Have:

Experience with DBT & Dataiku.
Experience querying big data, using tools like Hive, Presto.
Experience with SQL and Bitbucket.
Good knowledge of Data Architecture, Data Modelling.

Must Have:

6-7 years of experience in Data & Analytics.
Proficiency in AWS Redshift, Spark, Python and SQL.
Experience with Shell scripting, Docker, Kubernetes & AWS.
Experience with Data pipelines orchestration tools.

Add these skills to join the top 1% applicants for this job

shell

bitbucket

kubernetes

spark

aws

python

docker

sql

data-analytics

communication

problem-solving

Job Description:

Experience of 6-7 years with strong understanding of Data & Analytics concepts and technologies, including data lakes, Data Pipelines, visualization, and reporting, with a focus on creating business value.
Proficiency in big data technologies including AWS Redshift, Spark, Python, complex SQL. Should be able to review Python code.
Experience with Shell scripting, Docker, Kubernetes & AWS
Good to have DBT & Dataiku, Kubernetes cluster
Experience querying big data, using tools like, Hive, Presto.
Experience with SQL and Bitbucket
Good knowledge of Data Architecture, Data Modelling, and Metadata Management best practices.
Experience with Data pipelines orchestration tools like DataIku, Airflow or Argo Workflows
Strong data analytical and troubleshooting skills, with the capability to handle and take ownership of critical issues until resolution.
Customer-focused with a 'service first' mentality and excellent communication skills. Ability to remain calm under pressure and when faced with adversity or urgent issues.

SYNECHRON’S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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