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