About the Role: We are seeking a hands-on Data Platform Engineer to lead the design, development, and maintenance of our scalable data infrastructure. You’ll build data pipelines, manage our data lake, and enable reliable analytics and reporting across the business. Key Responsibilities: Design and develop robust data pipelines using Python, Spark, and Big Data tools Own and manage our AWS-based data lake (S3, Glue, Athena, Lambda, EMR) Build and orchestrate ETL workflows with Airflow Develop and manage Kafka-based data streaming platforms Ensure data reliability, scalability, and performance Collaborate with Analysts, Scientists, and stakeholders for data-driven decisions Promote best practices in data governance and quality Enable BI integration with tools like Tableau Mentor junior team members Required Skills: 8+ years in data engineering or platform roles Strong Python/Java and advanced SQL skills Expertise in Airflow, Spark/PySpark, and AWS data stack Experience with large-scale ETL and real-time streaming (Kafka) Solid grasp of data warehousing, governance, and big data systems Nice to Have: Tableau or BI tools experience Familiarity with open-source data platforms (Druid, Iceberg, Nessie) Knowledge of data observability, cataloging, and quality frameworks Show more Show less
Title: Senior Data Platform Engineer Location: fully remote. Working hours: Flexible (presence from 9 pm to 12 am is must) Rest of the hours are flexible during the day time. About the Role: We are seeking a hands-on Data Platform Engineer to lead the design, development, and maintenance of our scalable data infrastructure. You ll build data pipelines, manage our data lake, and enable reliable analytics and reporting across the business. Key Responsibilities: Design and develop robust data pipelines using Python, Spark, and Big Data tools Own and manage our AWS-based data lake (S3, Glue, Athena, Lambda, EMR) Build and orchestrate ETL workflows with Airflow Develop and manage Kafka-based data streaming platforms Ensure data reliability, scalability, and performance Collaborate with Analysts, Scientists, and stakeholders for data-driven decisions Promote best practices in data governance and quality Enable BI integration with tools like Tableau Mentor junior team members Required Skills: 8+ years in data engineering or platform roles Strong Python/Java and advanced SQL skills Expertise in Airflow, Spark/PySpark, and AWS data stack Experience with large-scale ETL and real-time streaming (Kafka) Solid grasp of data warehousing, governance, and big data systems Nice to Have: Tableau or BI tools experience Familiarity with open-source data platforms (Druid, Iceberg, Nessie) Knowledge of data observability, cataloging, and quality frameworks
Job Type - Full time Working hours - Flexible, however presence from 8 PM to 12 AM is mandatory. Title - UA Manager We are looking for a "UA Manager” for a mobile gaming domain. He/she will be helping to define Game player acquisition. He/She will be primarily focused on acquiring and retaining players by strategically managing marketing campaigns across various digital channels using data-driven insights and sophisticated software platforms. Key Roles & Responsibilities Develop and execute comprehensive user acquisition campaigns and strategies for our client’s games, navigating diverse mobile channels like Facebook Ads, TikTok, Reddit, Google Ads and more. Develop long-term UA strategies, aligning them with our overall marketing objectives. Collaborate with cross-functional teams to define target audiences and optimize acquisition channels Analyze campaign performance and user behavior data to identify trends, patterns, and insights for refining acquisition campaigns. Manage budgets effectively, ensuring optimal return on investment (ROI) for all user acquisition efforts. Abreast of industry trends and emerging technologies to enhance UA tactics and stay ahead in the competitive gaming landscape. Conduct A/B testing and other experimentation methods to refine and optimize creatives, messaging, and campaign performance. Work closely with the analytics team to establish key performance indicators (KPIs) and regularly report on the success of user acquisition campaigns. Required Skills & Experiences Bachelor’s Degree or equivalent in business or related field 5+ years of hands-on experience in performance marketing in mobile gaming. Proven expertise in paid acquisition with a successful track record of implementing ROAS strategies. Familiarity with user acquisition platforms (Facebook Ads, TikTok, Google Ads) and Mobile Measurement Partners (e.g., Appsflyer). Strong understanding of experimentation methodologies and processes. Experience in influencer marketing and App Store Optimization (ASO). Proven track record of implementing innovative organic and viral tactics. Fluent in English, with excellent written and verbal communication skills. Strong analytical and problem-solving abilities Show more Show less
Experience: 5+ Years (Experience in Data Science) Title: Martech ML Engineer (THIS ROLE IS INDIVIDUAL CONTRIBUTER ROLE) Working hours: Flexible Hours (Presence from 9 PM IST to 12 AM IST is a must) Masscomcorp is seeking an experienced ML Engineer with a strong background in User Acquisition (UA) for Mobile Gaming and AdTech . The ideal candidate will leverage data-driven insights to optimize user acquisition strategies, enhance campaign performance, and maximize return on investment (ROI). You should have hands-on experience in Python, SQL, and statistical modelling , along with a deep understanding of marketing analytics, attribution modelling, and programmatic advertising. Here’s a quick breakdown of the key responsibilities and skills for this role: Key Responsibilities: Analyze large datasets from multiple sources (e.g., mobile games, ad networks, MMPs) to drive UA strategy and improve campaign effectiveness. Develop predictive models and A/B testing frameworks to optimize ad spend, bidding strategies, and targeting. Implement LTV (Lifetime Value) models, and cohort analysis to inform marketing decisions. Work closely with marketing, UA, product, and engineering teams to translate business questions into analytical solutions. Use SQL to extract and manipulate data from databases and create dashboards to track key UA performance metrics. Utilize Python for automation, machine learning, and data processing to improve efficiency in UA campaigns. Collaborate with AdTech partners and MMPs (e.g., Appsflyer, Adjust) to ensure accurate attribution tracking and measurement. Stay updated on industry trends in AdTech, gaming UA, and programmatic advertising to recommend new strategies. Interact and collaborate with data engineers, Business stakeholders as and when required. What to Expect: This is an individual contributor role, focused on hands-on work. The role involves close collaboration with data science and ML teams, as well as development of in-house systems. Required Technical Skills: At least 3+ years of experience in User Acquisition, AdTech, or Gaming analytics. Hands-on experience with AdTech platforms, MMPs (Mobile Measurement Partners), and UA tools. Demonstrate an a relevant project implementation in User Acquisition in Mobile Marketing/AdTech Space Experience with marketing analytics, campaign performance optimization, and attribution modeling. Familiarity with A/B testing methodologies, statistical significance, and causal inference techniques. Ability to use statistics to understand behavior of systems and/or players. Ability to communicate complex data insights to non-technical stakeholders. Must be thorough and experienced with programming in Python and SQL. Prior experience in Apache Spark with ML is a plus Team player with excellent organizational, communication and interpersonal skills. Why Masscom: Generous paid time off (PTO), vacation, and holidays Permanent Work from Home Flexible working hours Group Health Insurance (Family Floater) 5 days a week
Experience: 5+ Years (Experience in Data Science) Title: Data Scientist - Adtech (THIS ROLE IS AN INDIVIDUAL CONTRIBUTER ROLE) Working hours: Flexible Hours (Presence from 9 PM IST to 12 AM IST is a must) Masscomcorp is seeking an experienced ML Engineer with a strong background in User Acquisition (UA) for Mobile Gaming and AdTech . The ideal candidate will leverage data-driven insights to optimize user acquisition strategies, enhance campaign performance, and maximize return on investment (ROI). You should have hands-on experience in Python, SQL, and statistical modelling , along with a deep understanding of marketing analytics, attribution modelling, and programmatic advertising. Here’s a quick breakdown of the key responsibilities and skills for this role: Key Responsibilities: Analyze large datasets from multiple sources (e.g., mobile games, ad networks, MMPs) to drive UA strategy and improve campaign effectiveness. Develop predictive models and A/B testing frameworks to optimize ad spend, bidding strategies, and targeting. Implement LTV (Lifetime Value) models, and cohort analysis to inform marketing decisions. Work closely with marketing, UA, product, and engineering teams to translate business questions into analytical solutions. Use SQL to extract and manipulate data from databases and create dashboards to track key UA performance metrics. Utilize Python for automation, machine learning, and data processing to improve efficiency in UA campaigns. Collaborate with AdTech partners and MMPs (e.g., Appsflyer, Adjust) to ensure accurate attribution tracking and measurement. Stay updated on industry trends in AdTech, gaming UA, and programmatic advertising to recommend new strategies. Interact and collaborate with data engineers, Business stakeholders as and when required. What to Expect: This is an individual contributor role, focused on hands-on work. The role involves close collaboration with data science and ML teams, as well as development of in-house systems. Required Technical Skills: At least 3+ years of experience in User Acquisition, AdTech, or Gaming analytics. Hands-on experience with AdTech platforms, MMPs (Mobile Measurement Partners), and UA tools. Demonstrate an a relevant project implementation in User Acquisition in Mobile Marketing/AdTech Space Experience with marketing analytics, campaign performance optimization, and attribution modeling. Familiarity with A/B testing methodologies, statistical significance, and causal inference techniques. Ability to use statistics to understand behavior of systems and/or players. Ability to communicate complex data insights to non-technical stakeholders. Must be thorough and experienced with programming in Python and SQL. Prior experience in Apache Spark with ML is a plus Team player with excellent organizational, communication and interpersonal skills. Why Masscom: Generous paid time off (PTO), vacation, and holidays Permanent Work from Home Flexible working hours Group Health Insurance (Family Floater) 5 days a week
Company Name: Masscom Corporation Work location : Permanent WFH Timing: Must be available between 6 PM to 12 AM IST (rest flexible during day time) Working days: 5 days a week Experience: 8+ years of experience About Us: Since 2015, Masscom Corp has focused on providing high-quality services at a reasonable cost to start-ups and mid-scale businesses. While we have a few “enterprise scale” organizations to name in our client roster, our primary focus remains small to medium scale businesses especially start-ups. Given such a focus, we truly understand the day-to-day challenges in delivering technology solutions to this segment. Our extensive array of services helps our customers leverage next-generation technologies to build, transform and manage their IT operations as a natural extension to their in-house teams. We provide a unique mix of domain expertise of cutting-edge Digital Product Engineering, Infrastructure Engineering and Support Services to keep up with day-to-day operations. Overview of the position: We are seeking a highly experienced and motivated Senior QA Automation Engineer to join our dynamic engineering team. The ideal candidate will have a minimum of eight years of hands-on experience in designing, developing, and maintaining robust automation frameworks. You will play a critical role in ensuring the quality and reliability of our cutting-edge products, working closely with cross-functional teams in a fast-paced environment. Key Responsibilities Design, build, and maintain scalable and reliable API test automation frameworks from scratch using REST Assured and Java . Develop and execute comprehensive automated test suites for web applications using Selenium WebDriver , Java , and the TestNG framework. Manage the full testing lifecycle, including test planning, execution, and reporting within the TestNG framework. Integrate automation scripts with our CI/CD pipeline using TeamCity to enable continuous testing. Implement and manage test case management and reporting using TestRail , ensuring seamless integration with our automation frameworks. Collaborate closely with developers, product managers, and other QA team members to identify testing requirements, report defects, and ensure high-quality software releases. Proficient database skills and hands-on SQL/NOSQL experience Strong understanding of TDD and CI/CD processes. Exposure to SCRUM or other agile development processes. Champion automation best practices and mentor other team members. Required Qualifications Total 8 years of experience in QA domain. Minimum 4+ years of professional experience in QA automation. Proven expertise in creating and managing API automation frameworks using REST Assured with Java . Extensive hands-on experience with Selenium WebDriver and Java for UI automation. Advanced proficiency with the TestNG testing framework for managing and executing test suites. Demonstrated experience integrating automation frameworks with CI/CD tools, specifically TeamCity . Hands-on experience with test management tools, specifically TestRail , and its integration with automated tests. Strong communication skills and a proven ability to collaborate effectively with cross-functional teams. Preferred but not required: AdTech domain knowledge, GraphQL APIs Why Join Masscom? Permanent Work From Home Flexible working hours Generous Paid Time Off (PTO) , Vacation and holidays 5-day work week Group Health Insurance (Family Floater)
Company Name: Masscom Corporation Work location : Permanent WFH Timing: Must be available between 6 PM to 12 AM IST (rest flexible during daytime) Working days: 5 days a week Experience: 5+ years of experience About Us: Since 2015, Masscom Corp has focused on providing high-quality services at a reasonable cost to start-ups and mid-scale businesses. While we have a few enterprise scale organizations to name in our client roster, our primary focus remains small to medium scale businesses especially start-ups. Given such a focus, we truly understand the day-to-day challenges in delivering technology solutions to this segment. Our extensive array of services helps our customers leverage next-generation technologies to build, transform and manage their IT operations as a natural extension to their in-house teams. We provide a unique mix of domain expertise of cutting-edge Digital Product Engineering, Infrastructure Engineering and Support Services to keep up with day-to-day operations. Key Responsibilities Design, build, and maintain scalable ETL/ELT data pipelines using Apache Spark and Airflow Develop efficient data ingestion and transformation processes for structured and semi-structured data Implement and optimize Snowflake data models for high-performance analytics and BI reporting Collaborate with Data Scientists to support machine learning workflows , data preparation, and feature engineering Write performant, reusable Python and SQL code to support automation and pipeline orchestration Ensure data quality, reliability, and observability across production workflows Participate in architecture reviews and contribute to improving data engineering standards and best practices Required Skills & Experience 5+ years of hands-on experience in data engineering roles Strong expertise in Apache Spark (PySpark or Scala preferred) Proficient in Apache Airflow for workflow orchestration Advanced proficiency in Python programming Strong command over SQL for data manipulation and analytics Solid experience with Snowflake or similar modern data warehouse technologies Experience with building data pipelines in cloud-based environments (e.g., AWS, GCP, or Azure) Nice-to-Have Exposure to machine learning workflows or experience supporting ML pipelines Familiarity with CI/CD practices, containerization (Docker), and version control (Git) Experience with real-time data processing or event streaming tools (e.g., Kafka) Why Join Masscom? Permanent Work From Home Flexible working hours Generous Paid Time Off (PTO) , Vacation and holidays 5-day work week Group Health Insurance (Family Floater) 11:1
FIND ON MAP