Big Data Developer

2 months ago


Dallas, United States Anblicks Full time

JOB Description

Role: Big Data Engineer

Location : Dallas, TX

Relocation : Need to be onsite to work Hybrid


Job Role Responsibilities:


Integral team member of our Data Engineering team responsible for design and development of Big data solutions Partner with domain experts, product managers, analyst, and data scientists to develop Big Data pipelines in Hadoop or Snowflake Responsible for delivering data as a service framework

Responsible for moving all legacy workloads to cloud platform

Work with data scientist to build Client pipelines using heterogeneous sources and provide engineering services for data science applications

Ensure automation through CI/CD across platforms both in cloud and on-premises

Ability to research and assess open source technologies and components to recommend and integrate into the design and implementation

Be the technical expert and mentor other team members on Big Data and Cloud Tech stacks

Define needs around maintainability, testability, performance, security, quality and usability for data platform

Drive implementation, consistent patterns, reusable components, and coding standards for data engineering processes

Convert SAS based pipelines into languages like PySpark, Scala to execute on Hadoop and non-Hadoop ecosystems


Qualifications:

8+ years of experience in Hadoop/big data technologies.

3+ years of experience in spark.

2+ years’ experience in Snowflake

2+ year of experience working on Google or AWS cloud developing data solutions. Certifications preferred.

Hands-on experience with Python/Pyspark/Scala and basic libraries for machine learning is required;

Experience with containerization and related technologies (e.g. Docker, Kubernetes)

Experience with all aspects of DevOps (source control, continuous integration, deployments, etc.)

1 year Hadoop administration experience preferred

1+ year of SAS experience preferred.

Comprehensive knowledge of the principles of software engineering and data analytics

Advanced knowledge of the Hadoop ecosystem and Big Data technologies Hands-on experience with the Hadoop eco-system (HDFS, MapReduce, Hive, Pig, Impala, Spark, Kafka, Kudu, Solr)

Knowledge of agile (scrum) development methodology is a plus

Strong development/automation skills

Proficient in programming in Java or Python with prior Apache Beam/Spark experience a plus.

System level understanding - Data structures, algorithms, distributed storage & compute

Can-do attitude on solving complex business problems, good interpersonal and teamwork skills


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