Business Development Manager

Job Title : Senior Data Analytics Consultant

Experience : 5+ Years

Location : Remote

Job Summary :

We are hiring a Senior Data Analytics Consultant with strong expertise in Adobe Analytics and Adobe Launch to lead data-driven strategies for Nissan’s digital ecosystem.

The ideal candidate will deliver actionable insights, build scalable tracking frameworks, and collaborate with cross-functional teams.

Key Responsibilities :

• Use Adobe Analytics to analyze user behavior, build dashboards, and support customer journey insights.
• Integrate Adobe tools (Launch, Campaign) for end-to-end visibility.
• Design and manage tracking via Adobe Launch using data layers and custom JavaScript/JSON.
• Ensure accurate data capture and privacy compliance.
• Present insights to stakeholders and support data-informed decision-making.
• (Nice-to-Have) Contribute to A/B testing via Adobe Target.

Mandatory Skills :

• Adobe Analytics
• Adobe Launch
• JavaScript & JSON
• Data Layer Implementation
• Stakeholder Communication

Preferred :

• Adobe Target
• Automotive domain experience

Qualifications :

• Bachelor's in Data Science, Computer Science, or related field.
• Adobe Certifications preferred.

We are looking for a highly skilled Sr. Big Data Engineer with 3-5 years of experience in

building large-scale data pipelines, real-time streaming solutions, and batch/stream

processing systems. The ideal candidate should be proficient in Spark, Kafka, Python, and

AWS Big Data services, with hands-on experience in implementing CDC (Change Data

Capture) pipelines and integrating multiple data sources and sinks.

Responsibilities

• Design, develop, and optimize batch and streaming data pipelines using Apache Spark and Python.
• Build and maintain real-time data ingestion pipelines leveraging Kafka and AWS Kinesis.
• Implement CDC (Change Data Capture) pipelines using Kafka Connect, Debezium or similar frameworks.
• Integrate data from multiple sources and sinks (databases, APIs, message queues, file systems, cloud storage).
• Work with AWS Big Data ecosystem: Glue, EMR, Kinesis, Athena, S3, Lambda, Step Functions.
• Ensure pipeline scalability, reliability, and performance tuning of Spark jobs and EMR clusters.
• Develop data transformation and ETL workflows in AWS Glue and manage schema evolution.
• Collaborate with data scientists, analysts, and product teams to deliver reliable and high-quality data solutions.
• Implement monitoring, logging, and alerting for critical data pipelines.
• Follow best practices for data security, compliance, and cost optimization in cloud environments.

Required Skills & Experience

• Programming: Strong proficiency in Python (PySpark, data frameworks, automation).
• Big Data Processing: Hands-on experience with Apache Spark (batch & streaming).
• Messaging & Streaming: Proficient in Kafka (brokers, topics, partitions, consumer groups) and AWS Kinesis.
• CDC Pipelines: Experience with Debezium / Kafka Connect / custom CDC frameworks.
• AWS Services: AWS Glue, EMR, S3, Athena, Lambda, IAM, CloudWatch.
• ETL/ELT Workflows: Strong knowledge of data ingestion, transformation, partitioning, schema management.
• Databases: Experience with relational databases (MySQL, Postgres, Oracle) and NoSQL (MongoDB, DynamoDB, Cassandra).
• Data Formats: JSON, Parquet, Avro, ORC, Delta/Iceberg/Hudi.
• Version Control & CI/CD: Git, GitHub/GitLab, Jenkins, or CodePipeline.
• Monitoring/Logging: CloudWatch, Prometheus, ELK/Opensearch.
• Containers & Orchestration (nice-to-have): Docker, Kubernetes, Airflow/Step
• Functions for workflow orchestration.

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
• Experience in large-scale data lake / lake house architectures.
• Knowledge of data warehousing concepts and query optimisation.
• Familiarity with data governance, lineage, and cataloging tools (Glue Data Catalog, Apache Atlas).
• Exposure to ML/AI data pipelines is a plus.

Tools & Technologies (must-have exposure)

• Big Data & Processing: Apache Spark, PySpark, AWS EMR, AWS Glue
• Streaming & Messaging: Apache Kafka, Kafka Connect, Debezium, AWS Kinesis
• Cloud & Storage: AWS (S3, Athena, Lambda, IAM, CloudWatch)
• Programming & Scripting: Python, SQL, Bash
• Orchestration: Airflow / Step Functions
• Version Control & CI/CD: Git, Jenkins/CodePipeline
• Data Formats: Parquet, Avro, ORC, JSON, Delta, Iceberg, Hudi

Key Skills required (Items in Bold are mandatory keywords) :

1. Proficiency in Python  & Django

2. Solid understanding of Python concepts

3. Experience with some form of Machine Learning (ML)

4. Experience in using libraries such as Numpy and Pandas

5. Some form of experience with NLP and Deep Learning using any of Pytorch, Tensorflow, Keras, Scikit-learn or similar

6. Hands on experience with RDBMS such as Postgres or MySQL

7. Experience building REST APIs using DRF or Flask

8. Comfort with Git repositories, branching and deployment using Git

9. Working experience with Docker

10. Experience in deploying Django applications to AWS,Digital Ocean or Heroku

• As Director of Product, you are at the helm of the Product function of the organization. Your position overlooks the entire product organization right from cultivating a high growth team, overseeing the day to day management of ongoing projects to strategizing with CTO/founders, and planning the execution of upcoming projects/initiatives. 
• You are responsible for recruiting and mentoring product teams, setting up proper team structures, and keeping everyone aligned with the Vision at all times. 
• You are also required to maintain and oversee the design and data functions within the product org and build scalable structures for efficient output.
• You're expected to be involved in decisions (with Founders/CTO) that are to be taken in driving New Product initiatives and plan their execution and keep the management updated on the progress.

· Work Experience: 7+yrs

Technical Expertise

Must Have Skills:

· Proven experience as a Fusion Technical Consultant with strong expertise in Oracle Integration Cloud (OIC),

· Strong hand on experience generating BI reports (strictly Mandatory)

· Proficiency in Java, PL/SQL, Web Services, and other relevant programming languages.

· Strong problem-solving skills and the ability to troubleshoot complex technical issues independently.

· Prior experience in a customer-facing technical support role is a plus resolving P1/P2 tickets in a close deadline.

· Hands-on experience with Oracle Fusion Middleware technologies, including Oracle SOA Suite, Oracle Service Bus, and ADF.

· Excellent communication skills, both written and verbal, to effectively interact with clients and team members.

· Oracle certifications in Fusion Middleware and OIC are highly desirable.

Good To Have Skills:

· Good to have functional knowledge of AR, AP, GL,CM, Expense, FA, Procurement side.

Key Responsibilities:

· Collaborate with clients to understand their technical requirements and challenges related to Oracle Fusion applications and Oracle Integration Cloud (OIC).

· Provide expert-level support and troubleshooting for technical issues, system outages, and integration bottlenecks in a timely and efficient manner.

· Diagnose and resolve complex technical problems related to Fusion applications, OIC integrations, interfaces, and extensions.

· Perform root cause analysis and implement preventive measures to avoid future technical glitches.

· Collaborate with cross-functional teams, including developers, functional consultants, and business analysts, to ensure seamless integration and functionality.

· Develop and maintain technical documentation, including troubleshooting guides, best practices, and solution implementation details.

· Participate in regular status meetings with clients to address support requests, provide updates, and offer recommendations for process improvement.

· Stay updated with the latest releases, patches, and updates related to Oracle Fusion applications and OIC.

Professional Attributes:

· Flexibility

· Willing to work in shifts

· Willing to learn attitude

· Work location: Chennai/WFH

Job Description:-

Design, develop IoT/Cloud-based Typescript/ JavaScript/ Node.JS applications using

Amazon Cloud Computing Services.

Work closely with onsite, offshore, and cross functional teams, Product Management, UI/UX developers, Web and Mobile developers, SQA teams to effectively use technologies to build and deliver high quality and on-time delivery of IoT applications

Bug and issue resolution

Proactively Identify risks and failure modes early in the development lifecycle and develop.

POCs to mitigate the risks early in the program.

Assertive communication and team skills

Primary Skills:

Hands on experience (3+ years) in AWS cloud native environment with work experience in

AWS Lambda, Kinesis, DynamoDB

3+ years’ experience in working with NodeJS, Python, Unit Testing and Git

3+ years in work experience with document, relational or timeseries databases

2+ years in work experience with typescript.

1+ years in IaaS framework like Serverless or CDK with CloudFormation knowledge

About the Role

We are looking for a Quality Assurance (QA) engineer to develop and execute exploratory and automated tests to ensure product quality. QA engineer responsibilities include designing and implementing tests, debugging, and defining corrective actions. You will also review system requirements and track quality assurance metrics (e.g. defect densities and open defect counts.)

Responsibilities

Excellent command of Manual Testing and Automation Testing (Any tool).

Good knowledge of UI automation using Selenium or equivalent

Good knowledge in writing advanced SQL queries and data validation techniques Solid knowledge of SDLC and STLC concepts, Functional Testing

Fundamentals Good Experience of working in an Agile environment

and Expected skillset (Good to have)

Experience working with defect management tools like JIRA Well versed with all types of testing artifacts.