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Careers

At Agilisium, you get that opportunity to be among the best-of-the breed talent and work on challenging projects. Our collaborative team environment means everyone works together, regardless of location, to solve complex problems and develop innovative solutions that make a huge difference.
Our technology-enabled experts are seasoned and certified in the top technologies that help businesses succeed today, including everything from cloud and big data to advanced analytics, DevOps, databases and infrastructure management. Would you be willing to be a part of this setup too?

We are Hiring!

As a leading Digital Systems Integrator, Agilisium is in the process of developing teams with consumer-focused culture espousing best practices like design thinking and first principles thinking to ensure that our digital solutions yield long-term value for its clients.

Big Data Architect

To lead the next generation of data solutions targeting a variety of use cases across data engineering, data science, data governance, and visualization

Responsibilities

• Design, implement, and deploy high-performance, custom applications at scale on Hadoop;
• Define and develop network infrastructure solutions to enable partners and clients to scale NoSQL and relational database architecture for growing demands and traffic;
• Define common business and development processes, platform and tools usage for data acquisition, storage, transformation, and analysis;
• Develop roadmaps and implementation strategy around data science initiatives including recommendation engines, predictive modeling, and machine learning;
• Work with all phases of SDL, including system analysis, design, coding, test automation framework, debugging and documentation

Qualifications

A Big Data architect’s skill-set include but are not limited to…

• Experience in Architecture, design and development of Big Data solutions – dealing with considerable data size (TB/PB) and with high complexity
• Have a thorough understanding of Big Data space and be able to build competency
• Should have hands on experience with batch processing/real-time systems using various Open Source technologies like Hadoop, NoSQL DBs, Spark, Kafka, etc.
• Hands on experience with programming languages JAVA, Scala, Python
• Hands on experience with scripting on Unix/Linux
• Experience with cloud hosted applications – AWS
• Ability to communicate clearly with both business and technical resources
• Capable of working as an individual contributor and within team too
• Excellent ability to grasp business processes and translate them into what is needed to be done technically to implement them
• Good communication, problem solving & interpersonal skills

Data Engineer

To work closely with data architects and data scientists and provide clean, usable data to whomever may require it.

Responsibilities

• Build data expertise and own data quality for the pipelines built
• Architect, build, and launch new data models that provide intuitive analytics to the team
• Design, build, and launch extremely efficient and reliable data pipelines to move data (both large and small amounts) to our ridiculously large Data Warehouse
• Design and develop new systems and tools to enable team members to consume and understand data faster
• Use your expert coding skills across a number of languages from PHP, Python, and JavaScript
• Work across multiple teams in high visibility roles and own solutions end-to-end

Qualifications

• Proficiency in Python, Java, SQL (BigQuery, Oracle, Hive, etc)
• Experience with dimensional data modeling and schema design in Data Warehouses
• Experience in custom or structured (ie. Informatica/Talend/Pentaho) ETL design, implementation, and maintenance. Experience working with either a Map Reduce or a MPP system on any size/scale to write well-abstracted, reusable code components
• Excellent communication skills, including the ability to identify and communicate data-driven insights
• Experience in building web applications and knowledge of web technologies (HTML/CSS/JS)
• M.S. degree in Computer Science or related field
• 2+ years of professional experience

Apply Now

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