Data Engineer

 Job DescriptionPosition: Sr Data Engineer – Databricks & AWS

Experience: 4 - 5 Years

Company Profile:

Exponentia.ai is an AI tech organization with a presence across India, Singapore, the Middle East, and the UK. We are an innovative and disruptive organization, working on cutting-edge technology to help our clients transform into the enterprises of the future. We provide artificial intelligence-based products/platforms capable of automated cognitive decision-making to improve productivity, quality, and economics of the underlying business processes. Currently, we are transforming ourselves and rapidly expanding our business.

Exponentia.ai has developed long-term relationships with world-class clients such as PayPal, PayU, SBI Group, HDFC Life, Kotak Securities, Wockhardt and Adani Group amongst others.

One of the top partners of Cloudera (leading analytics player) and Qlik (leader in BI technologies), Exponentia.ai has recently been awarded the ‘Innovation Partner Award’ by Qlik in 2017.

Get to know more about us on our website: http://www.exponentia.ai/ and Life @Exponentia.

​Role Overview: 

·         A Data Engineer understands the client requirements and develops and delivers the data engineering solutions as per the scope.

·         The role requires good skills in the development of solutions using various services required for data architecture on Databricks Delta Lake, streaming, AWS, ETL Development, and data modeling.

Job Responsibilities

•         Design of data solutions on Databricks including delta lake, data warehouse, data marts and other data solutions to support the analytics needs of the organization.

•         Apply best practices during design in data modeling (logical, physical) and ETL pipelines (streaming and batch) using cloud-based services.

•         Design, develop and manage the pipelining (collection, storage, access), data engineering (data quality, ETL, Data Modelling) and understanding (documentation, exploration) of the data.

•         Interact with stakeholders regarding data landscape understanding, conducting discovery exercises, developing proof of concepts and demonstrating it to stakeholders.

Technical Skills 

•         Has more than 2 Years of experience in developing data lakes, and datamarts on the Databricks platform.

•         Proven skill sets in AWS Data Lake services such as - AWS Glue, S3, Lambda, SNS, IAM, and skills in Spark, Python, and SQL.

•         Experience in Pentaho

•         Good understanding of developing a data warehouse, data marts etc.

•         Has a good understanding of system architectures, and design patterns and should be able to design and develop applications using these principles.

Personality Traits

•         Good collaboration and communication skills

•         Excellent problem-solving skills to be able to structure the right analytical solutions.

•         Strong sense of teamwork, ownership, and accountability

•         Analytical and conceptual thinking 

•         Ability to work in a fast-paced environment with tight schedules.

•         Good presentation skills with the ability to convey complex ideas to peers and management.

Education:

BE / ME / MS/MCA.

Job Description

▪ You are responsible for setting up, operating, and monitoring LS system solutions on premise and in the cloud

▪ You are responsible for the analysis and long-term elimination of system errors

▪ You provide support in the area of ​​information and IT security

▪ You will work on the strategic further development and optimize the platform used

▪ You will work in a global, international team requirement profile

▪ You have successfully completed an apprenticeship / degree in the field of IT

▪ You can demonstrate in-depth knowledge and experience in the following areas:

▪ PostgreSQL databases

▪ Linux (e.g. Ubuntu, Oracle Linux, RHEL)

▪ Windows (e.g. Windows Server 2019/2022)

▪ Automation / IaC (e.g. Ansible, Terraform)

▪ Containerization with Kubernetes / Virtualization with Vmware is an advantage

▪ Service APIs (AWS, Azure)

▪ You have very good knowledge of English, knowledge of German is an advantage

▪ You are a born team player, show high commitment and are resilient

JOB TITLE - Product Development Engineer - Machine Learning
● Work Location: Hyderabad
● Full-time
 

Company Description

Phenom People is the leader in Talent Experience Marketing (TXM for short). We’re an early-stage startup on a mission to fundamentally transform how companies acquire talent. As a category creator, our goals are two-fold: to educate talent acquisition and HR leaders on the benefits of TXM and to help solve their recruiting pain points.
 

Job Responsibilities:

• Design and implement machine learning, information extraction, probabilistic matching algorithms and models
• Research and develop innovative, scalable and dynamic solutions to hard problems
• Work closely with Machine Learning Scientists (PhDs), ML engineers, data scientists and data engineers to address challenges head-on.
• Use the latest advances in NLP, data science and machine learning to enhance our products and create new experiences
• Scale machine learning algorithm that powers our platform to support our growing customer base and increasing data volume
• Be a valued contributor in shaping the future of our products and services
• You will be part of our Data Science & Algorithms team and collaborate with product management and other team members
• Be part of a fast pace, fun-focused, agile team

Job Requirement:

• 4+ years of industry experience
• Ph.D./MS/B.Tech in computer science, information systems, or similar technical field
• Strong mathematics, statistics, and data analytics
• Solid coding and engineering skills preferably in Machine Learning (not mandatory)
• Proficient in Java, Python, and Scala
• Industry experience building and productionizing end-to-end systems
• Knowledge of Information Extraction, NLP algorithms coupled with Deep Learning
• Experience with data processing and storage frameworks like Hadoop, Spark, Kafka etc.

Position Summary
We’re looking for a Machine Learning Engineer to join our team of Phenom. We are expecting the below points to full fill this role.

• Capable of building accurate machine learning models is the main goal of a machine learning engineer
• Linear Algebra, Applied Statistics and Probability
• Building Data Models
• Strong knowledge of NLP
• Good understanding of multithreaded and object-oriented software development
• Mathematics, Mathematics and Mathematics
• Collaborate with Data Engineers to prepare data models required for machine learning models
• Collaborate with other product team members to apply state-of-the-art Ai methods that include dialogue systems, natural language processing, information retrieval and recommendation systems
• Build large-scale software systems and numerical computation topics
• Use predictive analytics and data mining to solve complex problems and drive business decisions
• Should be able to design the accurate ML end-to-end architecture including the data flows, algorithm scalability, and applicability
• Tackle situations where problem is unknown and the Solution is unknown
• Solve analytical problems, and effectively communicate methodologies and results to the customers
• Adept at translating business needs into technical requirements and translating data into actionable insights
• Work closely with internal stakeholders such as business teams, product managers, engineering teams, and customer success teams.

Benefits

• Competitive salary for a startup
• Gain experience rapidly
• Work directly with the executive team
• Fast-paced work environment

About Phenom People

At PhenomPeople, we believe candidates (Job seekers) are consumers. That’s why we’re bringing e-commerce experience to the job search, with a view to convert candidates into applicants. The Intelligent Career Site™ platform delivers the most relevant and personalized job search yet, with a career site optimized for mobile and desktop interfaces designed to integrate with any ATS, tailored content selection like Glassdoor reviews, YouTube videos and LinkedIn connections based on candidate search habits and an integrated real-time recruiting analytics dashboard.

 Use Company career sites to reach candidates and encourage them to convert. The Intelligent Career Site™ offers a single platform to serve candidates a modern e-commerce experience from anywhere on the globe and on any device.

 We track every visitor that comes to the Company career site. Through fingerprinting technology, candidates are tracked from the first visit and served jobs and content based on their location, click-stream, behavior on site, browser and device to give each visitor the most relevant experience.

 Like consumers, candidates research companies and read reviews before they apply for a job. Through our understanding of the candidate journey, we are able to personalize their experience and deliver relevant content from sources such as corporate career sites, Glassdoor, YouTube and LinkedIn.

 We give you clear visibility into the Company's candidate pipeline. By tracking up to 450 data points, we build profiles for every career site visitor based on their site visit behavior, social footprint and any other relevant data available on the open web.

 Gain a better understanding of Company’s recruiting spending and where candidates convert or drop off from Company’s career site. The real-time analytics dashboard offers companies actionable insights on optimizing source spending and the candidate experience.

Kindly explore about the company phenom (https://www.phenom.com/">https://www.phenom.com/)
Youtube - https://www.youtube.com/c/PhenomPeople">https://www.youtube.com/c/PhenomPeople
LinkedIn - https://www.linkedin.com/company/phenompeople/">https://www.linkedin.com/company/phenompeople/

https://www.phenom.com/">Phenom | Talent Experience Management

Technical Knowledge (Must Have)

• Strong experience in SQL / HiveQL/ AWS Athena,
• Strong expertise in the development of data pipelines (snaplogic is preferred).
• Design, Development, Deployment and administration of data processing applications.
• Good Exposure towards AWS and Azure Cloud computing environments.
• Knowledge around BigData, AWS Cloud Architecture, Best practices, Securities, Governance, Metadata Management, Data Quality etc.
• Data extraction through various firm sources (RDBMS, Unstructured Data Sources) and load to datalake with all best practices.
• Knowledge in Python
• Good knowledge in NoSQL technologies (Neo4J/ MongoDB)
• Experience/knowledge in SnapLogic (ETL Technologies)
• Working knowledge on Unix (AIX, Linux), shell scripting
• Experience/knowledge in Data Modeling. Database Development
• Experience/knowledge creation of reports and dashboards in Tableau/ PowerBI

Job Title: Data Warehouse/Redshift Admin

Location: Remote

Job Description

AWS Redshift Cluster Planning

AWS Redshift Cluster Maintenance

AWS Redshift Cluster Security

AWS Redshift Cluster monitoring.

Experience managing day to day operations of provisioning, maintaining backups, DR and monitoring of AWS RedShift/RDS clusters

Hands-on experience with Query Tuning in high concurrency environment

Expertise setting up and managing AWS Redshift

AWS certifications Preferred (AWS Certified SysOps Administrator)

Job Role : Associate Manager (Database Development)

Key Responsibilities:

• Optimizing performances of many stored procedures, SQL queries to deliver big amounts of data under a few seconds.
• Designing and developing numerous complex queries, views, functions, and stored procedures
• to work seamlessly with the Application/Development team’s data needs.
• Responsible for providing solutions to all data related needs to support existing and new
• applications.
• Creating scalable structures to cater to large user bases and manage high workloads
• Responsible in every step from the beginning stages of the projects from requirement gathering to implementation and maintenance.
• Developing custom stored procedures and packages to support new enhancement needs.
• Working with multiple teams to design, develop and deliver early warning systems.
• Reviewing query performance and optimizing code
• Writing queries used for front-end applications
• Designing and coding database tables to store the application data
• Data modelling to visualize database structure
• Working with application developers to create optimized queries
• Maintaining database performance by troubleshooting problems.
• Accomplishing platform upgrades and improvements by supervising system programming.
• Securing database by developing policies, procedures, and controls.
• Designing and managing deep statistical systems.

Desired Skills and Experience  :

• 7+ years of experience in database development
• Minimum 4+ years of experience in PostgreSQL is a must
• Experience and in-depth knowledge in PL/SQL
• Ability to come up with multiple possible ways of solving a problem and deciding on the most optimal approach for implementation that suits the work case the most
• Have knowledge of Database Administration and have the ability and experience of using the CLI tools for administration
• Experience in Big Data technologies is an added advantage
• Secondary platforms: MS SQL 2005/2008, Oracle, MySQL
• Ability to take ownership of tasks and flexibility to work individually or in team
• Ability to communicate with teams and clients across time zones and global regions
• Good communication and self-motivated
• Should have the ability to work under pressure
• Knowledge of NoSQL and Cloud Architecture will be an advantage