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consulting & implementation services in the area of Oil & Gas, Mining and Manufacturing Industry
- Data Engineer
Required skill set: AWS GLUE, AWS LAMBDA, AWS SNS/SQS, AWS ATHENA, SPARK, SNOWFLAKE, PYTHON
Mandatory Requirements
- Experience in AWS Glue
- Experience in Apache Parquet
- Proficient in AWS S3 and data lake
- Knowledge of Snowflake
- Understanding of file-based ingestion best practices.
- Scripting language - Python & pyspark
CORE RESPONSIBILITIES
- Create and manage cloud resources in AWS
- Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, REST HTTP API, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies
- Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part of business logic and implement it using the language supported by the base data platform
- Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations
- Develop an infrastructure to collect, transform, combine and publish/distribute customer data.
- Define process improvement opportunities to optimize data collection, insights and displays.
- Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible
- Identify and interpret trends and patterns from complex data sets
- Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders.
- Key participant in regular Scrum ceremonies with the agile teams
- Proficient at developing queries, writing reports and presenting findings
- Mentor junior members and bring best industry practices
QUALIFICATIONS
- 5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales)
- Strong background in math, statistics, computer science, data science or related discipline
- Advanced knowledge one of language: Java, Scala, Python, C#
- Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake
- Proficient with
- Data mining/programming tools (e.g. SAS, SQL, R, Python)
- Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum)
- Data visualization (e.g. Tableau, Looker, MicroStrategy)
- Comfortable learning about and deploying new technologies and tools.
- Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines.
- Good written and oral communication skills and ability to present results to non-technical audiences
- Knowledge of business intelligence and analytical tools, technologies and techniques.
Familiarity and experience in the following is a plus:
- AWS certification
- Spark Streaming
- Kafka Streaming / Kafka Connect
- ELK Stack
- Cassandra / MongoDB
- CI/CD: Jenkins, GitLab, Jira, Confluence other related tools
Technical Skills:
- Ability to understand and translate business requirements into design.
- Proficient in AWS infrastructure components such as S3, IAM, VPC, EC2, and Redshift.
- Experience in creating ETL jobs using Python/PySpark.
- Proficiency in creating AWS Lambda functions for event-based jobs.
- Knowledge of automating ETL processes using AWS Step Functions.
- Competence in building data warehouses and loading data into them.
Responsibilities:
- Understand business requirements and translate them into design.
- Assess AWS infrastructure needs for development work.
- Develop ETL jobs using Python/PySpark to meet requirements.
- Implement AWS Lambda for event-based tasks.
- Automate ETL processes using AWS Step Functions.
- Build data warehouses and manage data loading.
- Engage with customers and stakeholders to articulate the benefits of proposed solutions and frameworks.
About UpSolve
We built and deliver complex AI solutions which help drive business decisions faster and more accurately. We are a typical AI company and have a range of solutions developed on Video, Image and Text.
What you will do
- Stay informed on new technologies and implement cautiously
- Maintain necessary documentation for the project
- Fix the issues reported by application users
- Plan, build, and design solutions with a mental note of future requirements
- Coordinate with the development team to manage fixes, code changes, and merging
Location: Mumbai
Working Mode: Remote
What are we looking for
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
- Minimum 2 years of professional experience in software development, with a focus on machine learning and full stack development.
- Strong proficiency in Python programming language and its machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
- Experience in developing and deploying machine learning models in production environments.
- Proficiency in web development technologies including HTML, CSS, JavaScript, and front-end frameworks such as React, Angular, or Vue.js.
- Experience in designing and developing RESTful APIs and backend services using frameworks like Flask or Django.
- Knowledge of databases and SQL for data storage and retrieval.
- Familiarity with version control systems such as Git.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
- Ability to work effectively in a fast-paced and dynamic team environment.
- Good to have Cloud Exposure
Job Responsibilities
- Design, build & test ETL processes using Python & SQL for the corporate data warehouse
- Inform, influence, support, and execute our product decisions
- Maintain advertising data integrity by working closely with R&D to organize and store data in a format that provides accurate data and allows the business to quickly identify issues.
- Evaluate and prototype new technologies in the area of data processing
- Think quickly, communicate clearly and work collaboratively with product, data, engineering, QA and operations teams
- High energy level, strong team player and good work ethic
- Data analysis, understanding of business requirements and translation into logical pipelines & processes
- Identification, analysis & resolution of production & development bugs
- Support the release process including completing & reviewing documentation
- Configure data mappings & transformations to orchestrate data integration & validation
- Provide subject matter expertise
- Document solutions, tools & processes
- Create & support test plans with hands-on testing
- Peer reviews of work developed by other data engineers within the team
- Establish good working relationships & communication channels with relevant departments
Skills and Qualifications we look for
- University degree 2.1 or higher (or equivalent) in a relevant subject. Master’s degree in any data subject will be a strong advantage.
- 4 - 6 years experience with data engineering.
- Strong coding ability and software development experience in Python.
- Strong hands-on experience with SQL and Data Processing.
- Google cloud platform (Cloud composer, Dataflow, Cloud function, Bigquery, Cloud storage, dataproc)
- Good working experience in any one of the ETL tools (Airflow would be preferable).
- Should possess strong analytical and problem solving skills.
- Good to have skills - Apache pyspark, CircleCI, Terraform
- Motivated, self-directed, able to work with ambiguity and interested in emerging technologies, agile and collaborative processes.
- Understanding & experience of agile / scrum delivery methodology
one of the world's leading multinational investment bank
good exposure to concepts and/or technology across the broader spectrum. Enterprise Risk Technology
covers a variety of existing systems and green-field projects.
A Full stack Hadoop development experience with Scala development
A Full stack Java development experience covering Core Java (including JDK 1.8) and good understanding
of design patterns.
Requirements:-
• Strong hands-on development in Java technologies.
• Strong hands-on development in Hadoop technologies like Spark, Scala and experience on Avro.
• Participation in product feature design and documentation
• Requirement break-up, ownership and implantation.
• Product BAU deliveries and Level 3 production defects fixes.
Qualifications & Experience
• Degree holder in numerate subject
• Hands on Experience on Hadoop, Spark, Scala, Impala, Avro and messaging like Kafka
• Experience across a core compiled language – Java
• Proficiency in Java related frameworks like Springs, Hibernate, JPA
• Hands on experience in JDK 1.8 and strong skillset covering Collections, Multithreading with
For internal use only
For internal use only
experience working on Distributed applications.
• Strong hands-on development track record with end-to-end development cycle involvement
• Good exposure to computational concepts
• Good communication and interpersonal skills
• Working knowledge of risk and derivatives pricing (optional)
• Proficiency in SQL (PL/SQL), data modelling.
• Understanding of Hadoop architecture and Scala program language is a good to have.
at Virtusa
- Minimum 1 years of relevant experience, in PySpark (mandatory)
- Hands on experience in development, test, deploy, maintain and improving data integration pipeline in AWS cloud environment is added plus
- Ability to play lead role and independently manage 3-5 member of Pyspark development team
- EMR ,Python and PYspark mandate.
- Knowledge and awareness working with AWS Cloud technologies like Apache Spark, , Glue, Kafka, Kinesis, and Lambda in S3, Redshift, RDS
We’re hiring a talented Data Engineer and Big Data enthusiast to work in our platform to help ensure that our data quality is flawless. As a company, we have millions of new data points every day that come into our system. You will be working with a passionate team of engineers to solve challenging problems and ensure that we can deliver the best data to our customers, on-time. You will be using the latest cloud data warehouse technology to build robust and reliable data pipelines. Duties/Responsibilities Include:
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Requirements:
Exceptional candidates will have:
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Specialism- Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, python, decision tree, random forest, SAS, clustering classification
Senior Analytics Consultant- Responsibilities
- Understand business problem and requirements by building domain knowledge and translate to data science problem
- Conceptualize and design cutting edge data science solution to solve the data science problem, apply design thinking concepts
- Identify the right algorithms , tech stack , sample outputs required to efficiently adder the end need
- Prototype and experiment the solution to successfully demonstrate the value
Independently or with support from team execute the conceptualized solution as per plan by following project management guidelines - Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization
- Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development , practice development initiatives
Develop complex queries, pipelines and software programs to solve analytics and data mining problems
Interact with other data scientists, product managers, and engineers to understand business problems, technical requirements to deliver predictive and smart data solutions
Prototype new applications or data systems
Lead data investigations to troubleshoot data issues that arise along the data pipelines
Collaborate with different product owners to incorporate data science solutions
Maintain and improve data science platform
Must Have
BS/MS/PhD in Computer Science, Electrical Engineering or related disciplines
Strong fundamentals: data structures, algorithms, database
5+ years of software industry experience with 2+ years in analytics, data mining, and/or data warehouse
Fluency with Python
Experience developing web services using REST approaches.
Proficiency with SQL/Unix/Shell
Experience in DevOps (CI/CD, Docker, Kubernetes)
Self-driven, challenge-loving, detail oriented, teamwork spirit, excellent communication skills, ability to multi-task and manage expectations
Preferred
Industry experience with big data processing technologies such as Spark and Kafka
Experience with machine learning algorithms and/or R a plus
Experience in Java/Scala a plus
Experience with any MPP analytics engines like Vertica
Experience with data integration tools like Pentaho/SAP Analytics Cloud
Primary responsibilities:
- Architect, Design and Build high performance Search systems for personalization, optimization, and targeting
- Designing systems with Solr, Akka, Cassandra, Kafka
- Algorithmic development with primary focus Machine Learning
- Working with rapid and innovative development methodologies like: Kanban, Continuous Integration and Daily deployments
- Participation in design and code reviews and recommend improvements
- Unit testing with JUnit, Performance testing and tuning
- Coordination with internal and external teams
- Mentoring junior engineers
- Participate in Product roadmap and Prioritization discussions and decisions
- Evangelize the solution with Professional services and Customer Success teams
- Build a team with skills in ETL, reporting, MDM and ad-hoc analytics support
- Build technical solutions using latest open source and cloud based technologies
- Work closely with offshore senior consultant, onshore team and client's business and IT teams to gather project requirements
- Assist overall project execution from India - starting from project planning, team formation system design and development, testing, UAT and deployment
- Build demos and POCs in support of business development for new and existing clients
- Prepare project documents and PowerPoint presentations for client communication
- Conduct training sessions to train associates and help shape their growth