Content Designer Executive

Role & Responsibilities:

We are looking for a strong Data Engineer to join our growing team. The ideal candidate brings solid ETL fundamentals, hands-on pipeline experience, and cloud platform proficiency — with a preference for GCP / BigQuery expertise.

Responsibilities:

• Design, build, and maintain scalable data pipelines and ETL/ELT workflows
• Work with Dataform or DBT to implement transformation logic and data models
• Develop and optimize data solutions on GCP (BigQuery, GCS) or AWS/Azure
• Support data migration initiatives and data mesh architecture patterns
• Collaborate with analysts, scientists, and business stakeholders to deliver reliable data products
• Apply data governance and quality best practices across the data lifecycle
• Troubleshoot pipeline issues and drive proactive monitoring and resolution

Ideal Candidate:

• Strong Data Engineer Profile
• Must have 6+ years of hands-on experience in Data Engineering, with strong ownership of end-to-end data pipeline development.
• Must have strong experience in ETL/ELT pipeline design, transformation logic, and data workflow orchestration.
• Must have hands-on experience with any one of the following: Dataform, dbt, or BigQuery, with practical exposure to data transformation, modeling, or cloud data warehousing.
• Must have working experience on any cloud platform: GCP (preferred), AWS, or Azure, including object storage (GCS, S3, ADLS).
• Must have strong SQL skills with experience in writing complex queries and optimizing performance.
• Must have programming experience in Python and/or SQL for data processing.
• Must have experience in building and maintaining scalable data pipelines and troubleshooting data issues.
• Exposure to data migration projects and/or data mesh architecture concepts.
• Experience with Spark / PySpark or large-scale data processing frameworks.
• Experience working in product-based companies or data-driven environments.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

NOTE:

• There will be an interview drive scheduled on 28th and 29th March 2026, and if shortlisted, they will be expected to be available on these Interview dates. Only Immediate joiners are considered.

Review Criteria:

• Strong MLOps profile
• 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
• 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
• 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
• Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
• Must have hands-on Python for pipeline & automation development
• 4+ years of experience in AWS cloud, with recent companies
• (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth

Preferred:

• Hands-on in Docker deployments for ML workflows on EKS / ECS
• Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
• Experience with CI / CD / CT using GitHub Actions / Jenkins.
• Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
• Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.

Job Specific Criteria:

• CV Attachment is mandatory
• Please provide CTC Breakup (Fixed + Variable)?
• Are you okay for F2F round?
• Have candidate filled the google form?

Role & Responsibilities:

We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.

Key Responsibilities:

• Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
• Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
• Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
• Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
• Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
• Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
• Collaborate with data scientists to productionize notebooks, experiments, and model deployments.

Ideal Candidate:

• 8+ years in MLOps/DevOps with strong ML pipeline experience.
• Strong hands-on experience with AWS:
• Compute/Orchestration: EKS, ECS, EC2, Lambda
• Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
• Workflow: MWAA/Airflow, Step Functions
• Monitoring: CloudWatch, OpenSearch, Grafana
• Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
• Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
• Strong Linux, scripting, and troubleshooting skills.
• Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.

Education:

• Master’s degree in computer science, Machine Learning, Data Engineering, or related field. 

At Dolat Capital, we blend cutting-edge technology with quantitative finance to drive high-performance trading across Equities, Futures, and Options. We're a fast-moving team of traders, engineers, and data scientists building ultra-low latency systems and intelligent trading strategies.

🎯 What You’ll Work On

1. Designing and deploying high-frequency, high-sharpe trading strategies

2. Building low-latency, high-throughput trading infrastructure (C++/Python/Linux).

3. Leveraging AI/ML to detect alpha and market patterns from large datasets

Real-time risk systems, simulation tools, and performance optimization

4. Collaborating across tech and trading teams to push innovation in live markets.

🧠 What We’re Looking For

1. Master’s (U.S.) in CS or Computational Finance (MANDATORY)

2. 1–2 years of experience in a quant/tech-heavy role

3. Strong in C++, Python, algorithms, Linux, TCP/UDP

4. Experience with AI/ML tools like TensorFlow, PyTorch, or Scikit-learn

5. Passion for high-performance systems and market innovation.

Job Description:

• Manage our company's social media accounts.
• Research and plan content strategy for social media campaigns by considering the latest trends.
• Develop and publish engaging posts that engage audiences and promote our brand.
• Schedule social media posts using online schedulers.
• Build a community by engaging the audience with meaningful conversations and responding to their comments.
• Connect with industry influencers for brand promotions.
• Monitor brand mentions and promote user-generated content to connect with the audience personally.
• Analyze social media analytics to measure the performance of the campaigns.
• Stay updated about the latest features and other offerings of social media platforms.
•  

Requirements:

• 02-04 years of experience as a Social Media Executive or a similar role.
• Exceptional knowledge of leading social media platforms, such as Instagram, Facebook, Twitter, and LinkedIn.
• Portfolio of social media campaigns handled in the past.
• Having outstanding copywriting skills would be an added benefit.
• Good understanding of social media ads.
• Sound knowledge of influencer marketing.
• Bachelor's/Master's degree in marketing, media, or related field.
• Good written and verbal communication skills.
• Basic customer service skills.
• Good time management skills.

Desired Candidate Profile

• Good problem solving skills
• Success in combining technology, data science into best-in-class financial outcomes
• Ability to make high-judgement decisions at rapid pace amidst the frequent ambiguity that comes with charting a course of action with no precedent
• Attention to detail    

Responsibilities

Ability to work on a cross-functional team within a very agile team, delivering on time and with high quality

Adjusts and defines new processes as they arise due to known and unknown customer/engineering requirements as it relates to frontend web development

Provides feedback on frontend architecture, code organization and CI/CD infrastructure for the team

Staying up to date with the best practices and future frontend development

Provides frontend leadership expertise and mentoring to other developers on not only the team, but the engineering organization as a whole

Takes pride in delivering ground breaking UI to web applications

Working closely with UX designers to turn their ideas into reality as it relates to creating visualizations for next generation cybersecurity

Qualifications

Proficient in developing large REACT Web Applications

Experience with Django applications

Proficient with TypeScript

Experience with Postgres or other relational database(s)

Experience developing REST APIs with authentication and scaling

Familiarity with some ORM (Object Relational Mapper) libraries

Cloud computing architectures (AWS, Azure, Google Cloud)

Experience with Docker a plus

Mandatory experience: 8 + years

• 2018 & 2019 batches of BE/B.Tech – CS/CE/IT/E&C/E&TC/Telecom/Communications/Electronics or MCA and other circuit branches of relevance to corporations and industry qualifying degrees.
• Candidate must have graduated the qualifying course in 2018 without any backlog.
• Candidates graduated in 2019, meeting the criteria, also stand eligible.
• Candidate should have scored a minimum of 60% in SSC/10th, HSC/12th/Diploma, and UG/PG as applicable.
• Not more than a gap year since SSC, meaning no loss of the academic year after joining a course.
• Flexible to relocate anywhere in India, and willing to work on any skill/domain/work timings.