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AWS Glue Developer 

Work Experience: 6 to 8 Years

Work Location:  Noida, Bangalore, Chennai & Hyderabad

Must Have Skills: AWS Glue, DMS, SQL, Python, PySpark, Data integrations and Data Ops, 

Job Reference ID:BT/F21/IND

Job Description:

Design, build and configure applications to meet business process and application requirements.

Responsibilities:

7 years of work experience with ETL, Data Modelling, and Data Architecture Proficient in ETL optimization, designing, coding, and tuning big data processes using Pyspark Extensive experience to build data platforms on AWS using core AWS services Step function, EMR, Lambda, Glue and Athena, Redshift, Postgres, RDS etc and design/develop data engineering solutions. Orchestrate using Airflow.

Technical Experience:

Hands-on experience on developing Data platform and its components Data Lake, cloud Datawarehouse, APIs, Batch and streaming data pipeline Experience with building data pipelines and applications to stream and process large datasets at low latencies.

➢ Enhancements, new development, defect resolution and production support of Big data ETL development using AWS native services.

➢ Create data pipeline architecture by designing and implementing data ingestion solutions.

➢ Integrate data sets using AWS services such as Glue, Lambda functions/ Airflow.

➢ Design and optimize data models on AWS Cloud using AWS data stores such as Redshift, RDS, S3, Athena.

➢ Author ETL processes using Python, Pyspark.

➢ Build Redshift Spectrum direct transformations and data modelling using data in S3.

➢ ETL process monitoring using CloudWatch events.

➢ You will be working in collaboration with other teams. Good communication must.

➢ Must have experience in using AWS services API, AWS CLI and SDK

Professional Attributes:

➢ Experience operating very large data warehouses or data lakes Expert-level skills in writing and optimizing SQL Extensive, real-world experience designing technology components for enterprise solutions and defining solution architectures and reference architectures with a focus on cloud technology.

➢ Must have 6+ years of big data ETL experience using Python, S3, Lambda, Dynamo DB, Athena, Glue in AWS environment.

➢ Expertise in S3, RDS, Redshift, Kinesis, EC2 clusters highly desired.

Qualification:

➢ Degree in Computer Science, Computer Engineering or equivalent.

Salary: Commensurate with experience and demonstrated competence

SENIOR DATA ENGINEER:

ROLE SUMMARY:

Own the design and delivery of petabyte-scale data platforms and pipelines across AWS and modern Lakehouse stacks. You’ll architect, code, test, optimize, and operate ingestion, transformation, storage, and serving layers. This role requires autonomy, strong engineering judgment, and partnership with project managers, infrastructure teams, testers, and customer architects to land secure, cost-efficient, and high-performing solutions.

RESPONSIBILITIES:

• Architecture and design: Create HLD/LLD/SAD, source–target mappings, data contracts, and optimal designs aligned to requirements.
• Pipeline development: Build and test robust ETL/ELT for batch, micro-batch, and streaming across RDBMS, flat files, APIs, and event sources.
• Performance and cost tuning: Profile and optimize jobs, right-size infrastructure, and model license/compute/storage costs.
• Data modeling and storage: Design schemas and SCD strategies; manage relational, NoSQL, data lakes, Delta Lakes, and Lakehouse tables.
• DevOps and release: Establish coding standards, templates, CI/CD, configuration management, and monitored release processes.
• Quality and reliability: Define DQ rules and lineage; implement SLA tracking, failure detection, RCA, and proactive defect mitigation.
• Security and governance: Enforce IAM best practices, retention, audit/compliance; implement PII detection and masking.
• Orchestration: Schedule and govern pipelines with Airflow and serverless event-driven patterns.
• Stakeholder collaboration: Clarify requirements, present design options, conduct demos, and finalize architectures with customer teams.
• Leadership: Mentor engineers, set FAST goals, drive upskilling and certifications, and support module delivery and sprint planning.

REQUIRED QUALIFICATIONS:

• Experience: 15+ years designing distributed systems at petabyte scale; 10+ years building data lakes and multi-source ingestion.
•  Cloud (AWS): IAM, VPC, EC2, EKS/ECS, S3, RDS, DMS, Lambda, CloudWatch, CloudFormation, CloudTrail.
• Programming: Python (preferred), PySpark, SQL for analytics, window functions, and performance tuning.
• ETL tools: AWS Glue, Informatica, Databricks, GCP DataProc; orchestration with Airflow.
• Lakehouse/warehousing: Snowflake, BigQuery, Delta Lake/Lakehouse; schema design, partitioning, clustering, performance optimization.
• DevOps/IaC: Terraform with 15+ years of practice; CI/CD (GitHub Actions, Jenkins) with 10+ years; config governance and release management.
• Serverless and events: Design event-driven distributed systems on AWS.
• NoSQL: 2–3 years with DocumentDB including data modeling and performance considerations.
• AI services: AWS Entity Resolution, AWS Comprehend; run custom LLMs on Amazon SageMaker; use LLMs for PII classification.

NICE-TO-HAVE QUALIFICATIONS:

• Data governance automation: 10+ years defining audit, compliance, retention standards and automating governance workflows.
• Table and file formats: Apache Parquet; Apache Iceberg as analytical table format.
• Advanced LLM workflows: RAG and agentic patterns over proprietary data; re-ranking with index/vector store results.
• Multi-cloud exposure: Azure ADF/ADLS, GCP Dataflow/DataProc; FinOps practices for cross-cloud cost control.

OUTCOMES AND MEASURES:

• Engineering excellence: Adherence to processes, standards, and SLAs; reduced defects and non-compliance; fewer recurring issues.
• Efficiency: Faster run times and lower resource consumption with documented cost models and performance baselines.
• Operational reliability: Faster detection, response, and resolution of failures; quick turnaround on production bugs; strong release success.
• Data quality and security: High DQ pass rates, robust lineage, minimal security incidents, and audit readiness.
• Team and customer impact: On-time milestones, clear communication, effective demos, improved satisfaction, and completed certifications/training.

LOCATION AND SCHEDULE:

●      Location: Outside US (OUS).

●      Schedule: Minimum 6 hours of overlap with US time zones.

Key Skills & Experience:

🔹 #SQL, #OraclePLSQL, #Unix / Perl / Python

🔹 #OracleRDBMS (latest) | #PostgreSQL plus

🔹 DB Objects | Performance Tuning | Analytics

🔹 #UnixLinux, Agile (Scrum, JIRA, Confluence, BitBucket)

🔹 DevOps (UC4, Maven, Jenkins, CI/CD)

🔹 ETL, Data Modeling, Informatica

🔹 Java, Angular/React, Spring Boot, XML, JSON, API Gateway

🔹 #OracleAPEX advantage

https://www.ynos.in/" target="_blank">YNOS is a next-generation funded startup founded by IIT Madras faculty and incubated at IIT Madras Incubation Cell. It is a digital platform for Entrepreneurs, Investors, Innovators and Eco-system enablers, providing actionable insights on the startup and investment landscape in India. We are passionate about solving tough problems using technology and data, making a difference

The Opening
We are presently seeking for our next enthusiastic, talented, and driven Python Backend Engineer to start right away. We'd want you to

• Be excited about building a next-generation intelligence platform
• Possess a can-do attitude and be open to new challenges
• Value working with a great team - self-assured, creative, and insightful individuals who work together to achieve amazing things
• Be willing to explore, learn, and contribute new ideas to the platform, thereby improving it
• Be high on self-belief and enthusiasm to work in a startup culture - small team, fast-paced work environment

As the Python Backend Engineer in https://www.ynos.in/" target="_blank">YNOS, you will

• Create reusable optimised code and libraries
• Deploy task management systems and automate routine tasks
• Build performant apps that adhere to the best practices, therefore increasing latency, performance, and scalability
• Improve the existing codebase while reducing technical debt
• Take charge of all elements of the application, including architecture, quality, and efficiency

• Proficient understanding of Python language
• Expertise in developing web apps and APIs using Python frameworks like Flask with an overall grasp of client-server interactions
• Familiarity with task management systems and process automation
• Comfortable with using Command Line and Linux systems
• Experience and understanding of version control systems like git, svn, etc
• Knowledge of NoSQL databases such as MongoDB

Good to have

• Expertise in other backend frameworks viz. Django, NodeJS, Go, Rust etc
• Knowledge of data-modelling, data-wrangling & data-mining techniques
• Experience with data visualisation tools & libraries such as Plotly, Seaborn etc
• Exposure to Statistical and Machine Learning (ML) techniques, particularly in the field of Natural Language Processing (NLP)
• Familiarity with front-end tools & frameworks such as HTML, CSS, JS, React, Vue, and others

Work location, Job type & Salary

• Our office is located at https://respark.iitm.ac.in/" target="_blank">IIT Madras Research Park, Chennai, Tamil Nadu, surrounded by the beautiful IITM Campus!
• This is a full-time position and we’d like you to relocate to Chennai
• Expected salary range ₹6L - ₹8L per annum

Key Responsibilities:

• Development of a Single Page Application (SPA) and it's components in Typescript: deployed and optimized for progressive mobile and browsers using Angular 2 and Ionic 2 frameworks.
• Creating custom, general use modules and smart components which extend the elements and modules of core Angular framework.
• Creating self-contained, reusable, and testable modules and components in Typescript and using responsive HTML and CSS.
• Architecting and automating the build process for production, using task runners or scripts.
• Writing non-blocking code, and resorting to advanced techniques such as multi-threading, when needed

Skills and Qualifications:

• Should have experience with CSS 3, SCSS, Java script and HTML5.
• Full-time knowledge of Angular practices and commonly used modules based on extensive work experience. Or 2 Year or more experience with other industry-leading frameworks like React.
• Minimum 1-year experience in working and extending one of the CSS or UI frameworks like Ng-lightening, Angular-material

Java Developer Responsibilities:

• Designing and implementing Java-based applications.
• Analyzing user requirements to inform application design.
• Defining application objectives and functionality.
• Aligning application design with business goals.
• Developing and testing software.
• Debugging and resolving technical problems that arise.
• Producing detailed design documentation.
• Recommending changes to existing Java infrastructure.
• Developing multimedia applications.
• Developing documentation to assist users.
• Ensuring continuous professional self-development.

Java Developer Requirements:

• Degree in Computer Science or related field.
• Experience with user interface design, database structures, and statistical analyses.
• Analytical mindset and good problem-solving skills.
• Excellent written and verbal communication.
• Good organizational skills.
• Ability to work as part of a team.
• Attention to detail.

JOB SUMMARY:  The Senior Associate supports the Data Analytics Manager by proposing relevant analytics procedures/tools, executing the analytics and also developing visualization outputs for audits, continuous monitoring/auditing and IA initiatives. The individual’s responsibilities include -

Understanding audit and/or project objectives and assisting the manager in preparing the plan and timelines.

Working with the Process/BU/IA teams for gathering requirements for continuous monitoring/auditing projects.

Working with Internal audit project teams to understand the analytics requirements for audit engagements.

Independently build pilot/prototype, determine appropriate visual tool and design the views to meet project objectives.

Proficient in data management and data mining.

Highly skilled on visualization tools like Qlik View, Qlik Sense, Power BI, Tableau, Alteryx etc.

Working with Data Analytics Manager to develop analytics program aligned to the overall audit plan.

Showcasing analytics capability to Process management teams to increase adoption of continuous monitoring.

Establishing and maintaining relationships with all key stakeholders of internal audit.

Coaching other data analysts on analytics procedures, coding and tools.

Taking a significant and active role in developing and driving Internal Audit Data Analytics quality and knowledge sharing to enhance the value provided to Internal Audit stakeholders.

Ensuring timely and accurate time tracking.

Continuously focusing on self-development by attending trainings, seminars and acquiring relevant certifications.

POSITION: SAP IN OIL & GAS

CSA - U2VCYT  & U2VCYV 

Relevant years of Experience: 6- 8 years of experience in IS Oil

NP- IMMEDIATE JOINER

WORK FROM OFFICE / REMOTE

LOCATION: PAN INDIA

Mandatory Skills for screening:-Good in configuration/ blueprinting/ understanding the process flow in SAP IS OIL & GAS downstream scenario mapping.

Good to have (Not Mandatory): ABAP debugging

Detailed Job Description: The candidate should have 6 to 8 yrs of SAP IS Oil experience and worked on at least two implementation projects. Should be very conversant with Oil downstream processes. Capable of taking part in blueprinting workshops with clients and ready to work hands-on in Configuration, Integration testing, UAT etc. Should also know the SAP Logistics area.