Senior Data Solutions Engineer
Posted on Sep 19, 2024 by Epsilon
Westminster, CO
Engineering
Immediate Start
Annual Salary
Full-Time
Job Description
This Senior Data Developer position will focus on designing, developing, and supporting our Hadoop data solutions in Spark and Python (PySpark) while working with other components of the Hadoop ecosystem such as HDFS, Hive, Hue, Impala, Jupyter, and Airflow. A successful candidate will work closely with business and portfolio leads to understand requirements then design and build innovative data solutions.
Duties and Responsibilities
Design and development centered around PySpark, Python and Hadoop Framework.
Working with gigabytes/terabytes of data and must understand the challenges of transforming and enriching such large datasets.
Automation of new data source integration processes to evaluate impact on existing products
Leverage AI/LLMs to improve data matching techniques
Identify opportunities to migrate solutions from On-Prem to AWS Cloud
Provide effective solutions to address the business problems – strategic and tactical.
Collaboration with team members, project managers, business analysts and QA teams in conceptualizing, estimating and developing new solutions and enhancements.
Work closely with the stake holders to define and refine the big data platform to achieve sales, product, and strategic objectives.
Collaborate with other technology teams and architects to define and develop cross-function technology stack interactions.
Read, extract, transform, stage and load data to multiple targets, including Hadoop and Oracle.
Develop scripts around Hadoop framework to automate processes and existing flows.
Modify existing programming/code for new requirements.
Estimate work, and track progress through SDLC with JIRA/Confluence
Unit testing and debugging. Perform root cause analysis (RCA) for any failed processes.
Convert business requirements into technical design specifications and execute on them.
Participate in code reviews and keep applications/code base in sync with version control (GIT/Bitbucket).
Effective communication, self-motivation, and ability to work independently while remaining fully aligned within a distributed team environment.
Required Skills
Bachelors Degree in Computer Science (or Engineering equivalent) or Masters with 5+ years of experience with big data ingestion, transformation and staging using the following technologies/principles/methodologies:
Analysis, design and implementation experience with Hadoop distributed frameworks, including Python & Spark (SparkSQL, PySpark), HDFS, Hive, Impala, Hue, Cloudera Hadoop, Zeppelin, Jupyter, etc
Extensive experience with large volumes of data (measured in Terabytes/Billions of Transactions)
AWS experience (especially related to porting solutions from On-Prem àCloud)
AI project work, and exposure to leveraging LLMs/Machine Learning
Proficient knowledge of SQL with any RDBMS
Familiarity with RDD and Data Frames within Spark
Working knowledge of data analytics
Troubleshooting and complex problem-solving skills
Working knowledge of Linux/Unix environments and comfort with Unix Shell scripts (ksh, bash)
Basic Hadoop administration knowledge
DevOps Knowledge is an advantage
Ability to work within deadlines and effectively prioritize and execute on tasks
Strong communication skills (verbal and written) with ability to communicate across teams, internal and external at all levels
Certifications
Any of these:
CCA Spark and Hadoop Developer.
MapR Certified Spark Developer (MCSD).
MapR Certified Hadoop Developer (MCHD).
HDP Certified Apache Spark Developer.
HDP Certified Developer.
Preferred Skills
Technical:Working knowledge of Oracle databases and PL/SQL.
Hadoop Admin & Dev-Ops.
Non-Technical:Good analytical thinking and problem-solving skills.
Ability to diagnose and troubleshoot problems quickly.
Motivated to learn new technologies, applications, and domains.
Possess appetite for learning through exploration and reverse engineering.
Strong time management skills.
Ability to take full ownership of tasks and projects.
Behavioral Attributes:Team player with excellent interpersonal skills.
Good verbal and written communication.
Possess Can-Do attitude to overcome any kind of challenges.
Salary Range: $75,000.00 - $(phone number removed)
The application deadline for this job posting is 11/5/2024.
This Senior Data Developer position will focus on designing, developing, and supporting our Hadoop data solutions in Spark and Python (PySpark) while working with other components of the Hadoop ecosystem such as HDFS, Hive, Hue, Impala, Jupyter, and Airflow. A successful candidate will work closely with business and portfolio leads to understand requirements then design and build innovative data solutions.
Duties and Responsibilities
Design and development centered around PySpark, Python and Hadoop Framework.
Working with gigabytes/terabytes of data and must understand the challenges of transforming and enriching such large datasets.
Automation of new data source integration processes to evaluate impact on existing products
Leverage AI/LLMs to improve data matching techniques
Identify opportunities to migrate solutions from On-Prem to AWS Cloud
Provide effective solutions to address the business problems – strategic and tactical.
Collaboration with team members, project managers, business analysts and QA teams in conceptualizing, estimating and developing new solutions and enhancements.
Work closely with the stake holders to define and refine the big data platform to achieve sales, product, and strategic objectives.
Collaborate with other technology teams and architects to define and develop cross-function technology stack interactions.
Read, extract, transform, stage and load data to multiple targets, including Hadoop and Oracle.
Develop scripts around Hadoop framework to automate processes and existing flows.
Modify existing programming/code for new requirements.
Estimate work, and track progress through SDLC with JIRA/Confluence
Unit testing and debugging. Perform root cause analysis (RCA) for any failed processes.
Convert business requirements into technical design specifications and execute on them.
Participate in code reviews and keep applications/code base in sync with version control (GIT/Bitbucket).
Effective communication, self-motivation, and ability to work independently while remaining fully aligned within a distributed team environment.
Required Skills
Bachelors Degree in Computer Science (or Engineering equivalent) or Masters with 5+ years of experience with big data ingestion, transformation and staging using the following technologies/principles/methodologies:
Analysis, design and implementation experience with Hadoop distributed frameworks, including Python & Spark (SparkSQL, PySpark), HDFS, Hive, Impala, Hue, Cloudera Hadoop, Zeppelin, Jupyter, etc
Extensive experience with large volumes of data (measured in Terabytes/Billions of Transactions)
AWS experience (especially related to porting solutions from On-Prem àCloud)
AI project work, and exposure to leveraging LLMs/Machine Learning
Proficient knowledge of SQL with any RDBMS
Familiarity with RDD and Data Frames within Spark
Working knowledge of data analytics
Troubleshooting and complex problem-solving skills
Working knowledge of Linux/Unix environments and comfort with Unix Shell scripts (ksh, bash)
Basic Hadoop administration knowledge
DevOps Knowledge is an advantage
Ability to work within deadlines and effectively prioritize and execute on tasks
Strong communication skills (verbal and written) with ability to communicate across teams, internal and external at all levels
Certifications
Any of these:
CCA Spark and Hadoop Developer.
MapR Certified Spark Developer (MCSD).
MapR Certified Hadoop Developer (MCHD).
HDP Certified Apache Spark Developer.
HDP Certified Developer.
Preferred Skills
Technical:Working knowledge of Oracle databases and PL/SQL.
Hadoop Admin & Dev-Ops.
Non-Technical:Good analytical thinking and problem-solving skills.
Ability to diagnose and troubleshoot problems quickly.
Motivated to learn new technologies, applications, and domains.
Possess appetite for learning through exploration and reverse engineering.
Strong time management skills.
Ability to take full ownership of tasks and projects.
Behavioral Attributes:Team player with excellent interpersonal skills.
Good verbal and written communication.
Possess Can-Do attitude to overcome any kind of challenges.
Salary Range: $75,000.00 - $(phone number removed)
The application deadline for this job posting is 11/5/2024.
Reference: 201922697
https://jobs.careeraddict.com/post/95432970
Senior Data Solutions Engineer
Posted on Sep 19, 2024 by Epsilon
Westminster, CO
Engineering
Immediate Start
Annual Salary
Full-Time
Job Description
This Senior Data Developer position will focus on designing, developing, and supporting our Hadoop data solutions in Spark and Python (PySpark) while working with other components of the Hadoop ecosystem such as HDFS, Hive, Hue, Impala, Jupyter, and Airflow. A successful candidate will work closely with business and portfolio leads to understand requirements then design and build innovative data solutions.
Duties and Responsibilities
Design and development centered around PySpark, Python and Hadoop Framework.
Working with gigabytes/terabytes of data and must understand the challenges of transforming and enriching such large datasets.
Automation of new data source integration processes to evaluate impact on existing products
Leverage AI/LLMs to improve data matching techniques
Identify opportunities to migrate solutions from On-Prem to AWS Cloud
Provide effective solutions to address the business problems – strategic and tactical.
Collaboration with team members, project managers, business analysts and QA teams in conceptualizing, estimating and developing new solutions and enhancements.
Work closely with the stake holders to define and refine the big data platform to achieve sales, product, and strategic objectives.
Collaborate with other technology teams and architects to define and develop cross-function technology stack interactions.
Read, extract, transform, stage and load data to multiple targets, including Hadoop and Oracle.
Develop scripts around Hadoop framework to automate processes and existing flows.
Modify existing programming/code for new requirements.
Estimate work, and track progress through SDLC with JIRA/Confluence
Unit testing and debugging. Perform root cause analysis (RCA) for any failed processes.
Convert business requirements into technical design specifications and execute on them.
Participate in code reviews and keep applications/code base in sync with version control (GIT/Bitbucket).
Effective communication, self-motivation, and ability to work independently while remaining fully aligned within a distributed team environment.
Required Skills
Bachelors Degree in Computer Science (or Engineering equivalent) or Masters with 5+ years of experience with big data ingestion, transformation and staging using the following technologies/principles/methodologies:
Analysis, design and implementation experience with Hadoop distributed frameworks, including Python & Spark (SparkSQL, PySpark), HDFS, Hive, Impala, Hue, Cloudera Hadoop, Zeppelin, Jupyter, etc
Extensive experience with large volumes of data (measured in Terabytes/Billions of Transactions)
AWS experience (especially related to porting solutions from On-Prem àCloud)
AI project work, and exposure to leveraging LLMs/Machine Learning
Proficient knowledge of SQL with any RDBMS
Familiarity with RDD and Data Frames within Spark
Working knowledge of data analytics
Troubleshooting and complex problem-solving skills
Working knowledge of Linux/Unix environments and comfort with Unix Shell scripts (ksh, bash)
Basic Hadoop administration knowledge
DevOps Knowledge is an advantage
Ability to work within deadlines and effectively prioritize and execute on tasks
Strong communication skills (verbal and written) with ability to communicate across teams, internal and external at all levels
Certifications
Any of these:
CCA Spark and Hadoop Developer.
MapR Certified Spark Developer (MCSD).
MapR Certified Hadoop Developer (MCHD).
HDP Certified Apache Spark Developer.
HDP Certified Developer.
Preferred Skills
Technical:Working knowledge of Oracle databases and PL/SQL.
Hadoop Admin & Dev-Ops.
Non-Technical:Good analytical thinking and problem-solving skills.
Ability to diagnose and troubleshoot problems quickly.
Motivated to learn new technologies, applications, and domains.
Possess appetite for learning through exploration and reverse engineering.
Strong time management skills.
Ability to take full ownership of tasks and projects.
Behavioral Attributes:Team player with excellent interpersonal skills.
Good verbal and written communication.
Possess Can-Do attitude to overcome any kind of challenges.
Salary Range: $75,000.00 - $(phone number removed)
The application deadline for this job posting is 11/5/2024.
This Senior Data Developer position will focus on designing, developing, and supporting our Hadoop data solutions in Spark and Python (PySpark) while working with other components of the Hadoop ecosystem such as HDFS, Hive, Hue, Impala, Jupyter, and Airflow. A successful candidate will work closely with business and portfolio leads to understand requirements then design and build innovative data solutions.
Duties and Responsibilities
Design and development centered around PySpark, Python and Hadoop Framework.
Working with gigabytes/terabytes of data and must understand the challenges of transforming and enriching such large datasets.
Automation of new data source integration processes to evaluate impact on existing products
Leverage AI/LLMs to improve data matching techniques
Identify opportunities to migrate solutions from On-Prem to AWS Cloud
Provide effective solutions to address the business problems – strategic and tactical.
Collaboration with team members, project managers, business analysts and QA teams in conceptualizing, estimating and developing new solutions and enhancements.
Work closely with the stake holders to define and refine the big data platform to achieve sales, product, and strategic objectives.
Collaborate with other technology teams and architects to define and develop cross-function technology stack interactions.
Read, extract, transform, stage and load data to multiple targets, including Hadoop and Oracle.
Develop scripts around Hadoop framework to automate processes and existing flows.
Modify existing programming/code for new requirements.
Estimate work, and track progress through SDLC with JIRA/Confluence
Unit testing and debugging. Perform root cause analysis (RCA) for any failed processes.
Convert business requirements into technical design specifications and execute on them.
Participate in code reviews and keep applications/code base in sync with version control (GIT/Bitbucket).
Effective communication, self-motivation, and ability to work independently while remaining fully aligned within a distributed team environment.
Required Skills
Bachelors Degree in Computer Science (or Engineering equivalent) or Masters with 5+ years of experience with big data ingestion, transformation and staging using the following technologies/principles/methodologies:
Analysis, design and implementation experience with Hadoop distributed frameworks, including Python & Spark (SparkSQL, PySpark), HDFS, Hive, Impala, Hue, Cloudera Hadoop, Zeppelin, Jupyter, etc
Extensive experience with large volumes of data (measured in Terabytes/Billions of Transactions)
AWS experience (especially related to porting solutions from On-Prem àCloud)
AI project work, and exposure to leveraging LLMs/Machine Learning
Proficient knowledge of SQL with any RDBMS
Familiarity with RDD and Data Frames within Spark
Working knowledge of data analytics
Troubleshooting and complex problem-solving skills
Working knowledge of Linux/Unix environments and comfort with Unix Shell scripts (ksh, bash)
Basic Hadoop administration knowledge
DevOps Knowledge is an advantage
Ability to work within deadlines and effectively prioritize and execute on tasks
Strong communication skills (verbal and written) with ability to communicate across teams, internal and external at all levels
Certifications
Any of these:
CCA Spark and Hadoop Developer.
MapR Certified Spark Developer (MCSD).
MapR Certified Hadoop Developer (MCHD).
HDP Certified Apache Spark Developer.
HDP Certified Developer.
Preferred Skills
Technical:Working knowledge of Oracle databases and PL/SQL.
Hadoop Admin & Dev-Ops.
Non-Technical:Good analytical thinking and problem-solving skills.
Ability to diagnose and troubleshoot problems quickly.
Motivated to learn new technologies, applications, and domains.
Possess appetite for learning through exploration and reverse engineering.
Strong time management skills.
Ability to take full ownership of tasks and projects.
Behavioral Attributes:Team player with excellent interpersonal skills.
Good verbal and written communication.
Possess Can-Do attitude to overcome any kind of challenges.
Salary Range: $75,000.00 - $(phone number removed)
The application deadline for this job posting is 11/5/2024.
Reference: 201922697
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