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<div style="">· 3-5 years of relevant experience in data engineering.</div><div style="">· A solid track record of data management showing &nbsp;flawless execution and attention to detail.</div><div style="">· Experience of working on different Hadoop flavors like &nbsp;cloudera and data fabric.</div><div style="">· Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities</div><div style="">· Extensive Experience around SQL, Streaming and ETL.</div><div style="">· Extensive experience in Kafka, spark, python or Scala</div><div style="">· Experience with any NoSQL databases( like Hbase, Cassadra, redis)</div><div style="">· Experience with integration of data from multiple data sources.</div><div style="">· Technical expertise regarding data models, database design development, data mining and segmentation techniques</div><div style="">· Programming experience, ideally in Python or Scala</div><div style="">· 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.</div><div style="">· Experience processing large amounts of structured and unstructured data, including integrating data from multiple sources.</div><div style="">· A willingness to explore new alternatives or options to solve data mining issues, and utilize a combination of industry best practices, data innovations and your experience to get the job done.</div><div style="">· Experience in production support and troubleshooting.</div><div style="">Skill set required(Technology stack)</div><div style="">· SQL</div><div style="">· Spark/ Spark-SQL</div><div style="">· Kafka</div><div style="">· ETL(ANY TOOL)</div><div style="">· HBase/Redis/Cassandra(Any NoSQL database)</div><div style="">· Hive</div><div style=""><br></div>

Bengaluru

Data Engineer

<div style="">· Working with functional and technical teams that are both India-based and US-based</div><div style="">· Working with application architects to determine integration requirements and solution design that optimize data movement</div><div style="">· Completing key project work and support activities</div><div style="">· Adopting best practices in the implementation and execution of support processes</div><div style="">· Utilizing strong problem solving and analytical skills as well as good written and verbal communication skills to discuss requirements, support, status updates, etc. to audiences with varying levels of IT knowledge</div><div style="">· Challenging the status quo and focusing on long-term value when designing solutions</div><div style="">· Using your technical and process aptitude to come up to speed on new tools and concepts required for integration development and support</div><div style="">· Solving critical support issues related to infrastructure management tools and processes</div><div style="">· Collaborating with various IT teams such as integration, networking, database administrators, and business application developers</div><div style="">· Particpate as integration resource on using agile methodologies</div><div style="">· Maintaining support documentation</div><div style="">Identifying and implementing process improvements</div>

Cloud Engineer

<ul>  <li style="">Experience in designing and building stand alone and distributed systems</li>  <li style="">Professional experience in software development in C#, NodeJS, Python</li>  <li style="">Experience with database technology SQL, No-SQL</li>  <li style="">Experience working with RESTful API and general service oriented architectures</li>  <li style="">Experience with AWS services highly desirable, particularly AWS IoT, AWS SiteWise, AWS Greengrass, Kinesis, Lambda, DynamoDB, SNS, S3, API Gateway, Cogito</li>  <li style="">An understanding of Machine to Machine (M2M), devices, cloud and field gateways, data analytics, and an end-to-end IoT implementation.</li>  <li style="">Understanding of any other technologies used in IoT: MQTT, OPC, Historian, PLC, SCADA</li></ul><div style=""><br></div>

India

IoT Developer

<div style="">KEY ACCOUNTABILITIES :</div><div style="">- Validate quality and coverage of datasets and proposes new datasets to be captured working with other data teams and leadership to identify and prioritize</div><div style="">- Ensure timely and accurate delivery of datasets that are needed for management of Trade Position, PnL &amp; MTM.</div><div style="">- Identify and communicate risks and impacts through analysis, providing transparency, interpretations and solutions to leaders.</div><div style="">- Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate leaders.</div><div style="">- Define, deliver &amp; execute approach for data reconciliation, source to target mappings, validations, reference data mappings.</div><div style="">- Drive reporting through the use of available technology (Tableau, Power BI)</div><div style="">- Provide continuous improvements, backlog prioritizations and stakeholder management</div><div style="">- Respond to complex ad hoc data requests.</div><div style="">MINIMUM QUALIFICATIONS :</div><div style="">- Bachelor's/Master's degree in a related field or equivalent experience</div><div style="">- Minimum four years of directly related work experience</div><div style="">- Other minimum qualifications may apply</div><div style="">PREFERRED QUALIFICATIONS :</div><div style="">- Commodity &amp; Derivatives and Trading &amp; Risk Management background</div><div style="">- Proficiency with SQL and big data concepts</div><div style="">- Experience in Derivatives trade integration from exchanges, internal systems and CTRM for an IT solution</div><div style=""><br></div>

CTRM

<div style="">ETL Developer - with excellent hands on knowledge with AWS Glue</div><div style="">Client's datalake is AWS, so an understanding of AWS services would be essential&nbsp;</div>

ETL Developer

<div style="">ETL Team Lead - with excellent hands on knowledge with AWS Glue</div><div style="">Should be able to lead a team in the client's project.&nbsp;</div><div style="">Client's datalake is AWS, so an understanding of AWS services would be essential&nbsp;</div>

ETL Team Lead

<ul>  <li style="">Design and develop foundational micro-services exposing APIs using an object-oriented programming language.</li>  <li style="">Design and develop scalable distributed data pipelines using cluster-compute frameworks.</li>  <li style="">Develop scalable system designs that solve business problems.</li>  <li style="">Apply best practices, algorithms, design patterns, and data structures to produce maintainable code.</li>  <li style="">Demonstrate a structured approach to software development (design, develop, test, instrument, and monitor).</li>  <li style="">Act as a lead on design, code, and operational reviews and be a team player.</li>  <li style="">Mentor software and data engineers on the team.</li>  <li style="">Bachelors or Master’s or equivalent technical work experience.</li>  <li style="">8+ years of work experience developing software in production.</li></ul>

Seattle

Lead Developer - Onsite

<div style="">• Hands-on experience with Amazon Web Services</div><div style="">• Hands-on experience with Amazon QuickSight</div><div style="">• Hands-on experience in QuickSight embedding, Data processing, Data Sources, Reporting, Dashboard, Visualizations, Security and ML Insights</div><div style=""><br></div>

AWS QuickSight Developer

<div style="">• Professional experience in software development in React / JavaScript</div><div style="">• Experience with database technology SQL, No-SQL</div><div style="">• Experience working with RESTful API and general service oriented architectures</div><div style="">• Experience with AWS services highly desirable, particularly Lambda, RDS, DynamoDB, SNS, S3, API Gateway</div><div style=""><br></div>

AWS Cloud - Full Stack Developer

<div style=""><b style="font-weight: 700">Roles and Responsibilities:</b></div><ul>  <li style="">Provision and configure Networks, Hybrid connectivity, Virtual Machines, Kubernetes Clusters, Load balancers.</li>  <li style="">Create data pipelines and administer a Kubernetes cluster and run applications on it.</li>  <li style="">Good Understanding of Infra as a Code tools, particularly terraform</li>  <li style="">Monitor, fix, and improve infrastructure continuously and troubleshoot any operational issues related to the infrastructure</li>  <li style="">Maintain and improve code quality, stability, and supportability.</li>  <li style="">Create and manage databases and should be able to write complex SQL queries.</li>  <li style="">Able to mentor new members for onboarding to the project</li>  <li style="">Leading the client calls to flag off any delays, blockers, escalations and collate all the requirements</li>  <li style="">Knowledge of release cycle of the product, which involves environments like Development, QA, UAT, Preproduction and Production.</li>  <li style="">Experience in working in Agile/Scrum teams.</li>  <li style="">Strong analytical and logical skills.</li>  <li style="">Must be able to comfortably tackle new challenges and learn.</li>  <li style="">Must have strong verbal and written communication skills.</li></ul>

Cloud Engineer - Solutions (GCP)

<div style="">Affine is a leading Artificial Intelligence (AI) and Data Engineering consulting and solutions firm. Affine offers capabilities across the analytical value chain from data engineering and cloud-based implementations to analytics, machine learning, and business intelligence, to tackle day-to-day &amp; strategic business challenges across multiple verticals &amp; business functions in Gaming, Manufacturing, Hi-Tech &amp; CPG industries.</div><div style=""><br></div><div style="">For over 45 Fortune 500 Global Corporations across the US, APAC, and India that benefit from their cutting-edge solutions, their proud workforce of 500+ data scientists, data engineers, cloud engineers, and analytical leaders empower customers to take proactive actions through impeccable technology-based development &amp; business acumen.</div><div style=""><br></div><div style="">Affine aims to bring about the evolution of business decision-making by adopting the ‘new’ in decision science and technology. Affine has believed in staying at the bleeding edge of decision science through a culture of celebrating excellence, continuous learning, and customer orientation.</div><div style=""><br></div><div style="">With the hyper-convergence of AI, Data Engineering, and Cloud, Affine enables their customers to become game-changers to ‘Command the New’ in their respective market landscapes.</div><div style=""><br></div>