Lead I - Data Engineering (Python, AWS Glue, Pyspark, Terraform)

We’re seeking a driven and detail-oriented Sales Manager to lead Acasa’s FMCG expansion across Modern Trade, Quick Commerce, HoReCa, and E-commerce (Amazon) channels.

The ideal candidate will combine strong sales acumen with operational discipline, brand understanding, and team leadership to drive growth and profitability across verticals.

Key Responsibilities

Sales & Business Development

 Develop and execute sales strategies across Modern Trade, Quick Commerce, HoReCa, and E-commerce (Amazon) channels.

 Drive Quick Commerce tie-ups (Blinkit, Zepto, Swiggy Instamart, etc.)

ensuring consistent fill rates, visibility, and on-time delivery.

 Expand and manage Modern Trade business — new tie-ups, branding opportunities, and store-level execution.

 Acquire and manage HoReCa accounts, ensuring strong partnerships and growth.

 Explore and onboard new retail store tie-ups and distributors to strengthen reach and market penetration.

 Maintain vertical-wise P&L accountability, ensuring profitability across all sales channels.

 Ensure payment cycles are monitored and reconciled as per company policy. E-Commerce & Brand Coordination

 Oversee Amazon listings and catalog management, ensuring all products are correctly priced, described, and optimized.

 Maintain online hygiene — ensuring accurate inventory, images, descriptions, ratings, and timely response to customer queries.

 Coordinate with the marketing team for updated creatives, offers, product launches, and campaign rollouts across digital platforms.

 Identify and execute branding opportunities within partner stores and online marketplaces.

Team & Operations

 Conduct regular store and market visits to ensure proper visibility, placement, and compliance.

 Train, mentor, and develop the sales and promoter team to enhance performance and product knowledge.

 Maintain strong vendor relationships and follow-up for timely supply and collections.

 Collaborate closely with operations for smooth delivery logistics and minimal wastage (RTC losses).

 Provide market insights, competitor analysis, and category feedback to guide business strategy.

Qualifications & Requirements

 Bachelor’s Degree required; MBA / Master’s in Marketing preferred.

 5–7 years of FMCG (Food) sales experience — experience in Modern Trade / E- commerce / Quick Commerce / HoReCa is essential.

 Strong leadership and team-building capabilities.

 Excellent communication, negotiation, and relationship management skills.

 Hands-on experience in Amazon / online retail operations preferred.

 Analytical mindset with sound knowledge of market trends, pricing, and brand visibility strategies.

Review Criteria

• Strong Dremio / Lakehouse Data Architect profile
• 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio
• Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems
• Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts
• Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)
• Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics
• Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices
• Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline
• Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred

• Preferred (Nice-to-have) – Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) or data catalogs (Collibra, Alation, Purview); familiarity with Snowflake, Databricks, or BigQuery environments

Job Specific Criteria

• CV Attachment is mandatory
• How many years of experience you have with Dremio?
• Which is your preferred job location (Mumbai / Bengaluru / Hyderabad / Gurgaon)?
• Are you okay with 3 Days WFO?
• Virtual Interview requires video to be on, are you okay with it?

Role & Responsibilities

You will be responsible for architecting, implementing, and optimizing Dremio-based data lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

Ideal Candidate

• Bachelor’s or master’s in computer science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

What You’ll Be Doing:

● Design and build parts of our data pipeline architecture for extraction, transformation, and loading of data from a wide variety of data sources using the latest Big Data technologies.

● Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

● Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

● Work with machine learning, data, and analytics experts to drive innovation, accuracy and greater functionality in our data system.

Qualifications:

● Bachelor's degree in Engineering, Computer Science, or relevant field.

● 10+ years of relevant and recent experience in a Data Engineer role. ● 5+ years recent experience with Apache Spark and solid understanding of the fundamentals.

● Deep understanding of Big Data concepts and distributed systems.

● Strong coding skills with Scala, Python, Java and/or other languages and the ability to quickly switch between them with ease.

● Advanced working SQL knowledge and experience working with a variety of relational databases such as Postgres and/or MySQL.

● Cloud Experience with DataBricks

● Experience working with data stored in many formats including Delta Tables, Parquet, CSV and JSON.

● Comfortable working in a linux shell environment and writing scripts as needed.

● Comfortable working in an Agile environment

● Machine Learning knowledge is a plus.

● Must be capable of working independently and delivering stable, efficient and reliable software.

● Excellent written and verbal communication skills in English.

● Experience supporting and working with cross-functional teams in a dynamic environment.

REPORTING: This position will report to our CEO or any other Lead as assigned by Management.

EMPLOYMENT TYPE: Full-Time,

Permanent LOCATION: Remote

SHIFT TIMINGS: 2.00 pm-11:00pm IST

💼 Position: QA Engineer (Manual, Automation & Performance Testing)

🏢 Company: Webvio Technologies Pvt. Ltd.

📍 Location: Kolkata;NewTown (Work from Office)

🕒 Shift Timing: 10:00 AM – 7:00 PM

💰 Salary: Up to ₹50,000 per month (Based on experience)

🗓️ Working Days: 5 Days a Week |

Key Responsibilities:

Design, develop, and execute test cases for web and mobile applications.

Perform manual, automation, and performance testing to ensure product quality.

Identify, record, and track software defects.

Collaborate closely with development teams to resolve issues efficiently.

Create and maintain automation scripts and test frameworks.

Conduct regression testing and ensure smooth product releases.

Required Skills & Experience:

Minimum 5+ years of experience in software testing.

Strong knowledge of Manual Testing, Automation Testing (Selenium, TestNG, or similar), and Performance Testing (JMeter or LoadRunner).

Experience with bug tracking tools like JIRA or Bugzilla.

Good understanding of SDLC, STLC, and Agile methodologies.

Excellent analytical, problem-solving, and communication skills.

Experience in Java

Experience in spring Boot

Experience in microservices

experience in Project management

Experience in leading team

Experience in customer facing

Experience in Product Management

Job Description:

1. Achieving enrolment targets (End to End sales)

2. Lead generation through cold calling.

3. Identifying suspects and prospects.

4. Meeting & Counselling prospective students (mostly working executives in various industries).

Location: Mumbai (Chembur, Goregaon)

Experience: 0-3 Years Inside Sales (Ed Tech is a plus)

One who have sold technical cources would be preferred

CS/IT Freshers with Excellent communication skills would be considered

Salary Range: 40-50k per month + Monthly Incentives

Responsibilities :

· Assist in the formulation of strategies to build a lasting digital connection with consumers

· Plan and monitor the ongoing company presence on social media (Twitter, Facebook, etc.)

· Launch optimized online adverts through Google Adwords, Facebook, etc. to increase company and brand awareness

· Be actively involved in SEO efforts (keyword, image optimization, etc.)

· Prepare online newsletters and promotional emails and organize their distribution through various channels

· Provide creative ideas for content marketing and update website

· Collaborate with designers to improve user experience

· Measure performance of digital marketing efforts using a variety of Web analytics tools (Google Analytics, WebTrends, etc.)

· Acquire insight in online marketing trends and keep strategies up-to-date

· Maintain partnerships with media agencies and vendors

Competencies & Skills Required :

· Proven experience as Digital Marketing Executive or similar role

· Excellent understanding of digital marketing concepts and best practices

· Experience with B2C social media, Google AdWords and email campaigns, and SEO/SEM

· Working knowledge of ad serving tools (e.g., DART, Atlas)

· Perfect knowledge of web analytics tools (e.g. Google Analytics, Net Insight, WebTrends, etc.)

· Skills and experience in creative content writing

· Analytical mindset and critical thinking

· Excellent communication and interpersonal skills