Digital Marketing Executive/ Manager

Sai Detective Agency is hiring Field Investigation Executives to conduct background verification and investigation assignments. The role involves field visits, document verification, collecting information, preparing reports, and maintaining strict confidentiality. Candidates should be comfortable with field work, possess good observation and communication skills, and be willing to travel within Delhi NCR. Freshers are welcome to apply.

Job Title: US Equity and Options Analyst

Location: Eon Free Zone, Cluster D, Wing 2, 3rd Floor, Kharadi, Pune – 411014

Work Mode: Work from Office (Full-time)

Experience Required: 2 to 4 Years

Office Timings: 6:00 PM to 3:00 AM (US Market Hours)

About the Role:

We are seeking a passionate and skilled US Equity and Options Analyst to join our team. The ideal candidate will have a strong understanding of technical analysis, chart patterns, and trading tools related to US equity and options markets. The role involves real-time market monitoring, analysis, and execution support for US market operations.

Key Responsibilities:

- Conduct in-depth technical analysis of US equities and options using chart patterns, indicators, and market data.

- Identify and evaluate trading opportunities based on market trends and volatility.

- Develop and implement options trading strategies, including options Greeks-based strategies (Delta, Gamma, Theta, Vega).

- Prepare daily and weekly market reports and performance reviews.

- Use professional trading platforms and analytical tools to track and analyze market movements.

- Collaborate with the team to develop strategies and research insights for equity and derivatives segments.

- Stay updated on US market news, earnings, and macroeconomic events impacting equity and options prices.

- Maintain high accuracy and discipline during market hours and ensure compliance with trading and research protocols.

Required Skills & Qualifications:

- Bachelor’s or Master’s degree in Finance, Economics, or a related field.

- 2–4 years of experience in US equity and/or options market analysis.

- Strong understanding of technical indicators, charting techniques, and market structure.

- NISM Series VIII (Equity Derivatives) Certification – Mandatory.

- Strong knowledge of Options Greeks and strategy building (spreads, straddles, strangles, iron condor, etc.).

- Proficiency with trading and analytical platforms (e.g., TradingView, Thinkorswim, Interactive Brokers, etc.).

- Excellent analytical, quantitative, and communication skills.

- Willingness to work during US market hours (6 PM – 3 AM IST) from the Pune office.

Why Join Us:

- Exposure to global financial markets and advanced trading tools.

- Opportunity to work with a dynamic and growth-oriented team.

- Performance-based growth and long-term career opportunities in equity research and trading analytics.

About the Role:

We are seeking a skilled Data Engineer to join our growing AdTech team. In this role, you will design, build, and maintain high-performance ETL pipelines and large-scale data processing systems. You will work with massive datasets and distributed frameworks to power Adsremedy’s data-driven advertising solutions across Programmatic, In-App, CTV, and DOOH platforms.

What You’ll Do:

• Design, develop, and maintain scalable ETL pipelines on self-managed infrastructure
• Process and optimize large-scale datasets (terabytes of data) with high reliability and performance
• Build robust data processing workflows using Apache Spark (preferred) and/or Apache Flink
• Integrate, clean, and transform data from multiple internal and external sources
• Partner closely with data scientists, analysts, and business stakeholders to enable actionable insights
• Monitor, troubleshoot, and optimize data pipelines for operational excellence
• Ensure data quality, consistency, and performance across all data workflows
• Participate in code reviews and uphold best practices in data engineering
• Collaborate with QA teams to deliver production-ready, reliable systems
• Mentor junior engineers and promote knowledge sharing within the team
• Stay current with emerging data engineering tools, frameworks, and industry trends

What You’ll Need:

• 2+ years of experience building ETL pipelines using Apache Spark and/or Apache Flink
• Hands-on experience with big data caching solutions such as ScyllaDB, Aerospike, or similar
• Strong understanding of data lake architectures and tools like Delta Lake
• Proven experience handling terabytes of data in distributed environments
• Proficiency in Scala, Python, or Java
• Experience working with cloud data platforms (AWS S3, Azure Data Lake, Google BigQuery)
• Strong knowledge of SQL, data modeling, and data warehousing concepts
• Familiarity with Git and CI/CD workflows
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment

Nice to Have

• Experience with Apache Kafka for real-time data streaming
• Familiarity with Apache Airflow or similar orchestration tools

Job description

• Greet and welcome visitors, clients, and stakeholders professionally.
• Manage the front desk, including answering and redirecting calls.
• Schedule appointments and maintain the meeting calendar.
• Handle client inquiries in person and via phone or email.
• Coordinate with internal teams to provide necessary information to clients.
• Maintain a neat and organized reception area.
• Perform administrative duties such as data entry, filing, and document management.

Job Responsibilities:

Excellent problem solving and analytical skills - ability to develop hypotheses,

understand and interpret data within the context of the product / business -

solve problems and distill data into actionable recommendations.

 Strong communication skills with the ability to confidently work with cross-

functional teams across the globe and to present information to all levels of the

organization.

 Intellectual and analytical curiosity - initiative to dig into the why, what & how.

 Strong number crunching and quantitative skills.

 Advanced knowledge of MS Excel and PowerPoint.

 Good hands on SQL

 Experience with in Google Analytics, Optimize, Tag Manager and other Google Suite tools

 Understanding of Business analytics tools & statistical programming languages - R, SAS, SPSS, Tableau is a plus

 Inherent interest in e-commerce & marketplace technology platforms and

broadly in the consumer Internet & mobile space.

 Previous experience of 1+ years working in a product company in

a product analytics role

 Strong understanding of building and interpreting product funnels.

Perquisites & Benefits:

 Opportunity to work with India's no.1 crowdfunding platform

 Be a part of a young, smart and rapidly growing team with management from Ivy League and Premier colleges

 Competitive compensation and incentives

 Fun, casual, relaxed and flexible work environment

You will:

• Write excellent production code and tests and help others improve in code-reviews
• Analyze high-level requirements to design, document, estimate, and build systems
• Coordinate across teams to identify, resolve, mitigate and prevent technical issues
• Coach and mentor engineers within the team to develop their skills and abilities
• Continuously improve the team's practices in code-quality, reliability, performance, testing, automation, logging, monitoring, alerting, and build processes

You have:

For (Fullstack):

• 2 - 10 Years of experience
• Strong with DS & Algorithms
• Hands on Experience in the Programming languages: JavaScript (React or Angular), Python, SQL.
• Experience with AWS.

For (Geo Team):

• 4 - 10 years of experience
• Experience with Big Data technologies like Hadoop, Spark, Map Reduce, Kafka, etc
• Experience using object-oriented languages (Java, Python)
• Experience in working with different AWS technologies.
• Experience in software design, architecture and development.
• Excellent competencies in data structures & algorithms.

For (Backend):

• 2 - 10 years of experience
• Hands on product development experience using Java/ C++/Python
• Experience with AWS,SQL,GIT
• Strong with Data structures and Algorithms

Additional nice to have skills/certifications:

For Java skill set:

Mockito, Grizzly, Netty, VertX, Jersey / JAX-RS, Swagger / Open API, Nginx, Protocol Buffers, Thrift, Aerospike, Redis, Kinesis, Sed, Awk, Perl

For Python skill set: Data Engineering experience, Athena, Lambda, EMR, Spark, Glue, Step Functions, Hadoop, Kinesis, Orc, Parquet, Perl, Awk, Redshift

For (Data Engineering):

• 2 - 10 years of experience
• Experience with object-oriented/object function scripting languages: Python.
• Experience with AWS cloud services: EC2, RDS, Redshift,S3,Athena, Glue
• Must be proficient in GIT, Jenkins, CICD (Continuous Integration Continuous Deployment)
• Experience in big data technologies like Hadoop, Map Reduce, Spark, etc
• Experience with Amazon Web Services and Dockers