Job Description: 
 
Pay Range 65hr - 70hr 
<ul> 
 <li> 4-5 years of experience with building end-to-end Data Lake using AWS technologies (S3, Glue, Athena, RedShift). </li> 
 <li> Design, develop and support data pipelines in a hybrid cloud environment to enable advanced analytics. </li> 
 <li> Experience with scheduling data pipelines using Apache Airflow. </li> 
 <li> Ability to develop new services in AWS using server-less or container-based. </li> 
 <li> Experience with CI/CD of data pipelines and micro-services. </li> 
 <li> Hands-on experience with DevOps using Jenkins and AWS CDK. </li> 
 <li> Strong Python programming background with advanced SQL knowledge. </li> 
 <li> Basic DWH knowledge along with some ETL tool exposure. </li> 
 <li> Hands-on experience with Docker/Kubernetes. </li> 
 <li> Experience working in Agile Scrum methodology. </li> 
</ul> 
 Skills: 

<ul> 
 <li> AWS & DevOps. </li> 
</ul>

Job Description: 
 
Skills: 
<ul> 
 <li> Experience on workflow orchestration using Google cloud data engineering components like pub/sub, dataflow, cloud functions, cloud composer, big query, etc. </li> 
 <li> Working with batch and event based / streaming technologies to ingest and process data. </li> 
 <li> Exposure to containerization of applications and kubernetes. </li> 
 <li> Required minimum 7 or more years of experience with GCP & Teradata data warehousing systems and Informatics. </li> 
 <li> Strong proficiency in Google cloud platform, including GCP big query, dataflow, and cloud storage. </li> 
 <li> Knowledge of etl tools and practices. </li> 
 <li> Familiarity with data modelling and data warehouse design principles. </li> 
 <li> Solid understanding of cloud security and compliance best practices. </li> 
 <li> Experience with performance tuning, troubleshooting, and optimization of Teradata systems. </li> 
 <li> Strong problem-solving and communication skills. </li> 
 <li> Any relevant certifications, such as Teradata or GCP certifications, would be a plus. </li> 
 <li> Prior experience with Teradata to GCP experience would be a plus. </li> 
 <li> Teradata + GCP + Python. </li> 
</ul>

Job Description: 
 
Pay Range $55hr - $60hr 
<ul> 
 <li> Senior Data Engineer will play a key role in maintaining a Reporting application in OBIEE with upgrade to OAS and potentially facilitate migration to Power BI and migration to clout/Snowflake. </li> 
 <li> 8+ years relevant experience. </li> 
 <li> 3-4 years of experience building BI solutions and visualizations with OBIEE and Power BI. </li> 
 <li> Proven knowledge and hands-on expertise with SQL to write complex, highly optimized queries across large volumes of data. </li> 
 <li> Extensive experience in Data engineering, Data Modeling and Data analysis. </li> 
 <li> Extensive experience in Oracle/ PL-SQL and Informatica. </li> 
 <li> Extensive Experience in OBIEE or another reporting tool such as Tableau, PowerBI. </li> 
 <li> Extensive experience in working in a data warehouse environment. </li> 
 <li> Experience in delivering DaaS (Data as a Service). </li> 
 <li> Experience in AWS, Snowflake, Airflow is preferred. </li> 
 <li> Knowledge of Financial Services and Power BI is preferred. </li> 
 <li> Candidate have experience with the Agile development methodology. </li> 
</ul>

Job Description: Responsibilities: <ul><li> Experience in data engineer , Data Analytics; Big Data Technologies Expert in Python. </li><li> (Developer level Expertise expected), Programming experience in Python, R programming , Algorithms Spark, Kafka Good experience in the Data Models for Client; Reporting, Dash boarding; Client tools H2O, Tensor Flow, Prediction.io; Distributed Data Platforms HDFS, Knowledge of data cleaning, wrangling, visualization and reporting, with an understanding of the best, most efficient use of associated tools and applications to complete these tasks. </li><li> Experience in MapReduce is a plus. </li><li> Deep knowledge of data mining, machine learning, natural language processing, or information retrieval. </li><li> Experience processing large amounts of structured and unstructured data, including integrating data from multiple sources. </li><li> A willingness to explore new alternatives or options to solve data mining issues, and utilize a combination of industry best practices, data innovations and candidate experience to get the job done. Good to have Elasticsearch, Client, Casandra; Good to have Cluster Compute Technologies Spark, Akka, NoSql DB; Good to have Distributed data; Hortonworks toolset, Zookeeper, HDFS". </li><li> To be responsible for providing technical guidance or solutions ;define, advocate, and implement best practices and coding standards for the team. </li><li> To ensure process compliance in the assigned module, and participate in technical discussion sor review as a technical consultant for feasibility study (technical alternatives, best packages, supporting architecture best practices, technical risks, breakdown into components, estimations). </li><li> To develop and guide the team members in enhancing their technical capabilities and increasing productivity. </li><li> To prepare and submit status reports for minimizing exposure and risks on the project or closure of escalations. </li> </ul> Skills: <ul><li> Scala ,Python, PySpark, Kudo ,Kafka and Data Engineering background.</li></ul>

Job Description: Pay Range $75hr - $80hr Responsibilities: <ul><li> Proficiency in MongoDB database management on AWS and Azure. </li><li> Strong knowledge of database design principles and query optimization. </li><li> Familiarity with data replication, sharding, and clustering. </li><li> Experience in data security and access control. </li><li> Knowledge of scripting languages (e.g., Python, Bash, JavaScript) for automation tasks. </li><li> Should be familiar with Triggers & Cron tasks especially ability to create / debug. </li><li> Excellent problem-solving and troubleshooting skills. </li><li> Strong communication and teamwork abilities. </li><li> Will be responsible for post processing of submitted data & records handling (Data analysis and visualization). </li><li> Design and implement MongoDB data models and schemas. </li><li> Ensure data security through user authentication and authorization mechanisms. </li><li> Monitor database performance and optimize queries for efficiency. </li><li> Schedule and monitor the Triggers and Cron tasks. </li><li> Collaborate with development teams to optimize MongoDB usage in applications. </li><li> Stay up-to-date with MongoDB best practices and emerging trends. </li><li> Develop and enforce database policies and procedures for data governance. </li><li> Post process submitted data & records handling (Data analysis and visualization).</li></ul>

Job Description: Skills: <ul><li> Experience on workflow orchestration using Google cloud data engineering components like pub/sub, dataflow, cloud functions, cloud composer, big query, etc. </li><li> Working with batch and event based / streaming technologies to ingest and process data. </li><li> Exposure to containerization of applications and kubernetes. </li><li> Required minimum 7 or more years of experience with GCP & Teradata data warehousing systems and Informatics. </li><li> Strong proficiency in Google cloud platform, including GCP big query, dataflow, and cloud storage. </li><li> Knowledge of etl tools and practices. </li><li> Familiarity with data modelling and data warehouse design principles. </li><li> Solid understanding of cloud security and compliance best practices. </li><li> Experience with performance tuning, troubleshooting, and optimization of Teradata systems. </li><li> Strong problem-solving and communication skills. </li><li> Any relevant certifications, such as Teradata or GCP certifications, would be a plus. </li><li> Prior experience with Teradata to GCP experience would be a plus. </li><li> Teradata + GCP + Python.</li></ul>

Job Description: Pay Range $50hr - $54hr <ul> <li> Bachelors degree in the areas of Computer Science, Engineering, Information Systems, Business, or equivalent field of study required. </li> <li> 7+ years of experience in working with data solutions. </li> <li> 3+ years of experience coding in Python, or Scala or similar scripting language. </li> <li> 3+ years of experience in developing data pipelines in AWS Cloud Platform (preferred), Azure, or Snowflake at scale. </li> <li> 2+ years Experience in designing and implementing data ingestion with real-time data streaming tools like Kafka, Kinesis or any similar tools.SAP/Salesforce or other cloud integrations are preferred. </li> <li> 3+ years experience working with MPP databases such as Snowflake (Preferred) , Redshift or similar MPP databases. </li> <li> 2+ years experience working with Serverless ETL processes (Lambda, AWS Glue, Matillion or similar). </li> <li> 1+ years experience with big data technologies like EMR, Hadoop, Spark, Cassandra, MongoDB or other open source big data tools. </li> <li> Knowledge of professional software engineering best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. </li> <li> Experience designing, documenting, and defending designs for key components in large distributed computing systems. </li> <li> Demonstrated ability to learn new technologies quickly and independently. </li> <li> Demonstrated ability to achieve stretch goals in a very innovative and fast paced environment. </li> <li> Ability to handle multiple competing priorities in a fast-paced environment. </li> <li> Excellent verbal and written communication skills, especially in technical communications. </li> <li> Strong interpersonal skills and a desire to work collaboratively. </li> <li> Experience participating in an Agile software development team, e.g. SCRUM.</li></ul>

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Data Engineer Cynet Systems Inc Jobs

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