Software Development Engineer Testing (SDET)

Job Title: Chief Manager - Product & Buying (Apparel Retail Brand)

Location: Gurgaon, India

Experience Required: 10-15 years in Apparel retail brand

Industry: Textile / Apparel / Garment Accessories/ Retail

Department: Sales & Business Development

·        Develop and implement detailed seasonal product plans, aligned with business goals.

·        Present range and sign off Business Unit (BU) plans in coordination with the Buying and Merchandising Head.

·        Book product quantities to support launches and adapt to in-season sales trends.

·        Analyze sales data to support informed buying decisions.

·        Work closely with suppliers to revise production flows based on sales performance and maximize sell-through.

·        Set and review targets for sales, margins, stock levels, commitments, and availability.

·        Contribute to the operating plan review and capture key learnings for future planning.

·        Manage catalogue intentions and the In-Range Presentation (IRP).

·        Lead planning and execution for all markdown and promotional periods.

·        Monitor supplier performance and ensure timely agreement and alignment on range production plans.

·        Coordinate with suppliers for flow inputs to maintain alignment between production and commitments.

·        Manage production plans to optimize Merchandise Stock Index capacity.

·        Collaborate with the Retail team by providing inputs for store layout planning.

·        Contribute to pricing strategies for new ranges.

·        Maintain competitive awareness and monitor product offerings in the market.

·        Plan, optimize, and review the product catalogue in alignment with store formats and chain performance.

·        Lead implementation of new systems and processes for improved efficiency.

Key Requirements:

·        Create and execute the departments Operating Plan.

·        Select relevant products from the M&S global catalogue to capture trends, drive volume, and meet customer demand.

·        Lead local product development to address market gaps, regional requirements, and margin improvement opportunities.

·        Plan and manage flow and phasing of stock to ensure timely product availability.

·        Ensure buying is aligned with approved plans and meets critical path timelines.

·        Drive in-season development of short lead-time products to improve responsiveness.

·        Develop and scale value fashion lines for Tier 2 markets.

·        Collaborate with Visual Merchandising and Marketing to deliver compelling in-store looks and storytelling.

Mail updated resume with current salary-

Email: etalenthire[at]gmail[dot]com

Satish; 88 O2 74 97 43

Website: www.glansolutions.com

Google search: Glan management consultancy

Experience: 4+ years.

Location: Vadodara & Pune

Skills Set- Snowflake, Power Bi, ETL, SQL, Data Pipelines

What you'll be doing:

• Develop, implement, and manage scalable Snowflake data warehouse solutions using advanced features such as materialized views, task automation, and clustering.
• Design and build real-time data pipelines from Kafka and other sources into Snowflake using Kafka Connect, Snowpipe, or custom solutions for streaming data ingestion.
• Create and optimize ETL/ELT workflows using tools like DBT, Airflow, or cloud-native solutions to ensure efficient data processing and transformation.
• Tune query performance, warehouse sizing, and pipeline efficiency by utilizing Snowflakes Query Profiling, Resource Monitors, and other diagnostic tools.
• Work closely with architects, data analysts, and data scientists to translate complex business requirements into scalable technical solutions.
• Enforce data governance and security standards, including data masking, encryption, and RBAC, to meet organizational compliance requirements.
• Continuously monitor data pipelines, address performance bottlenecks, and troubleshoot issues using monitoring frameworks such as Prometheus, Grafana, or Snowflake-native tools.
• Provide technical leadership, guidance, and code reviews for junior engineers, ensuring best practices in Snowflake and Kafka development are followed.
• Research emerging tools, frameworks, and methodologies in data engineering and integrate relevant technologies into the data stack.

What you need:

Basic Skills:

• 3+ years of hands-on experience with Snowflake data platform, including data modeling, performance tuning, and optimization.
• Strong experience with Apache Kafka for stream processing and real-time data integration.
• Proficiency in SQL and ETL/ELT processes.
• Solid understanding of cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with scripting languages like Python, Shell, or similar for automation and data integration tasks.
• Familiarity with tools like dbt, Airflow, or similar orchestration platforms.
• Knowledge of data governance, security, and compliance best practices.
• Strong analytical and problem-solving skills with the ability to troubleshoot complex data issues.
• Ability to work in a collaborative team environment and communicate effectively with cross-functional teams

Responsibilities:

• Design, develop, and maintain Snowflake data warehouse solutions, leveraging advanced Snowflake features like clustering, partitioning, materialized views, and time travel to optimize performance, scalability, and data reliability.
• Architect and optimize ETL/ELT pipelines using tools such as Apache Airflow, DBT, or custom scripts, to ingest, transform, and load data into Snowflake from sources like Apache Kafka and other streaming/batch platforms.
• Work in collaboration with data architects, analysts, and data scientists to gather and translate complex business requirements into robust, scalable technical designs and implementations.
• Design and implement Apache Kafka-based real-time messaging systems to efficiently stream structured and semi-structured data into Snowflake, using Kafka Connect, KSQL, and Snow pipe for real-time ingestion.
• Monitor and resolve performance bottlenecks in queries, pipelines, and warehouse configurations using tools like Query Profile, Resource Monitors, and Task Performance Views.
• Implement automated data validation frameworks to ensure high-quality, reliable data throughout the ingestion and transformation lifecycle.
• Pipeline Monitoring and Optimization: Deploy and maintain pipeline monitoring solutions using Prometheus, Grafana, or cloud-native tools, ensuring efficient data flow, scalability, and cost-effective operations.
• Implement and enforce data governance policies, including role-based access control (RBAC), data masking, and auditing to meet compliance standards and safeguard sensitive information.
• Provide hands-on technical mentorship to junior data engineers, ensuring adherence to coding standards, design principles, and best practices in Snowflake, Kafka, and cloud data engineering.
• Stay current with advancements in Snowflake, Kafka, cloud services (AWS, Azure, GCP), and data engineering trends, and proactively apply new tools and methodologies to enhance the data platform. 

We are a rapidly expanding global technology partner, that is looking for a highly skilled Senior (Python) Data Engineer to join their exceptional Technology and Development team. The role is in Kolkata. If you are passionate about demonstrating your expertise and thrive on collaborating with a group of talented engineers, then this role was made for you!

At the heart of technology innovation, our client specializes in delivering cutting-edge solutions to clients across a wide array of sectors. With a strategic focus on finance, banking, and corporate verticals, they have earned a stellar reputation for their commitment to excellence in every project they undertake.

We are searching for a senior engineer to strengthen their global projects team. They seek an experienced Senior Data Engineer with a strong background in building Extract, Transform, Load (ETL) processes and a deep understanding of AWS serverless cloud environments.

As a vital member of the data engineering team, you will play a critical role in designing, developing, and maintaining data pipelines that facilitate data ingestion, transformation, and storage for our organization.

Your expertise will contribute to the foundation of our data infrastructure, enabling data-driven decision-making and analytics.

Key Responsibilities:

• ETL Pipeline Development: Design, develop, and maintain ETL processes using Python, AWS Glue, or other serverless technologies to ingest data from various sources (databases, APIs, files), transform it into a usable format, and load it into data warehouses or data lakes.
• AWS Serverless Expertise: Leverage AWS services such as AWS Lambda, AWS Step Functions, AWS Glue, AWS S3, and AWS Redshift to build serverless data pipelines that are scalable, reliable, and cost-effective.
• Data Modeling: Collaborate with data scientists and analysts to understand data requirements and design appropriate data models, ensuring data is structured optimally for analytical purposes.
• Data Quality Assurance: Implement data validation and quality checks within ETL pipelines to ensure data accuracy, completeness, and consistency.
• Performance Optimization: Continuously optimize ETL processes for efficiency, performance, and scalability, monitoring and troubleshooting any bottlenecks or issues that may arise.
• Documentation: Maintain comprehensive documentation of ETL processes, data lineage, and system architecture to ensure knowledge sharing and compliance with best practices.
• Security and Compliance: Implement data security measures, encryption, and compliance standards (e.g., GDPR, HIPAA) as required for sensitive data handling.
• Monitoring and Logging: Set up monitoring, alerting, and logging systems to proactively identify and resolve data pipeline issues.
• Collaboration: Work closely with cross-functional teams, including data scientists, data analysts, software engineers, and business stakeholders, to understand data requirements and deliver solutions.
• Continuous Learning: Stay current with industry trends, emerging technologies, and best practices in data engineering and cloud computing and apply them to enhance existing processes.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Proven experience as a Data Engineer with a focus on ETL pipeline development.
• Strong proficiency in Python programming.
• In-depth knowledge of AWS serverless technologies and services.
• Familiarity with data warehousing concepts and tools (e.g., Redshift, Snowflake).
• Experience with version control systems (e.g., Git).
• Strong SQL skills for data extraction and transformation.
• Excellent problem-solving and troubleshooting abilities.
• Ability to work independently and collaboratively in a team environment.
• Effective communication skills for articulating technical concepts to non-technical stakeholders.
• Certifications such as AWS Certified Data Analytics - Specialty or AWS Certified DevOps Engineer are a plus.

Preferred Experience:

• Knowledge of data orchestration and workflow management tools
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Previous experience in industries with strict data compliance requirements (e.g., insurance, finance) is beneficial.

What You Can Expect:

- Innovation Abounds: Join a company that constantly pushes the boundaries of technology and encourages creative thinking. Your ideas and expertise will be valued and put to work in pioneering solutions.

- Collaborative Excellence: Be part of a team of engineers who are as passionate and skilled as you are. Together, you'll tackle challenging projects, learn from each other, and achieve remarkable results.

- Global Impact: Contribute to projects with a global reach and make a tangible difference. Your work will shape the future of technology in finance, banking, and corporate sectors.

They offer an exciting and professional environment with great career and growth opportunities. Their office is located in the heart of Salt Lake Sector V, offering a terrific workspace that's both accessible and inspiring. Their team members enjoy a professional work environment with regular team outings. Joining the team means becoming part of a vibrant and dynamic team where your skills will be valued, your creativity will be nurtured, and your contributions will make a difference. In this role, you can work alongside some of the brightest minds in the industry.

If you're ready to take your career to the next level and be part of a dynamic team that's driving innovation on a global scale, we want to hear from you.

Apply today for more information about this exciting opportunity.

Onsite Location: Kolkata, India (Salt Lake Sector V)

• Assisting in the formulation of strategies to build a lasting digital connection with consumers
• Identifying new opportunities by thorough market research and target top of social media trends
• Planning and monitoring the ongoing company presence on social media (Linkedin, Twitter etc.)
• Launching optimized online adverts through Google Adwords, Facebook etc. to increase brand awareness
• Preparing online newsletters and promotional emails and organize their distribution through various channels
• Planning and directing marketing campaigns
• Optimizing content for the website and social media platforms
• Providing internal reports on a regular basis
• Executing new and creative collaborations among technologies and platforms
• Collaborating with designers to improve user experience
• Acquiring insight in online marketing trends and keep strategies up-to-date
• Maintaining partnerships with media agencies and vendors
• Identify trends and insights

Desired Candidate Profile

• Preferably with a B.Tech+ MBA background from Tier 1 & 2 colleges
• 3-6 years of experience developing and executing B2B & B2C marketing programs covering multiple channels
• Solid technical background, with understanding or hands-on experience in software development and web technologies
• Proven work experience as a Digital Marketing Associate or similar role
• Excellent presentation, organization, time management, and cross-department communication skills
• Ability to quickly adapt to changes and work effectively under pressure
• Excellent client-facing and internal communication skills
• Ability to think strategically and drive the business strategy
• Attention to detail and multi-tasking skills
• Strong problem management skills
• Ability to manage multiple priorities
• Ability to interact well with people at all levels within and outside the organization    

• C#
• ASP.NET MVC
• ASP.NET
• Core
• jQuery
• JavaScript
• Angular
• MS SQL Server
• JSON
• Web API