Were Hiring: Data Scientists Enterprise AI, ML & Advanced Analytics (30+ Openings | 3-20 Yrs Exp | Multiple Levels) Location: Mumbai / Pune / Chandigarh / Bengaluru / Gurugram / Noida / New Delhi / Kolkata / Hyderabad / Chennai (Remote and Hybrid options are available for some roles) Industry: Fortune 500 Client Projects (Staffing via Hatchtra Innotech Pvt Ltd) Employment Type: Full-Time | Contract (C2H) About us: Hatchtra is a leading staffing and workforce solutions company, trusted by Fortune 500 organizations and global enterprises to build their technology teams. When you join us, you'll work directly with our Fortune 500 client teams that power mission-critical systems worldwide. About the Role We are seeking Data Scientists (3-20 years) to deliver advanced analytics, AI, and machine learning solutions for global enterprises. This role is perfect for professionals who thrive on solving complex business problems, building predictive models, and driving data-driven innovation at scale. As part of world-class analytics teams, youll work on enterprise AI initiatives, ML model deployment, NLP, computer vision, and generative AI use cases to transform business outcomes. Open Positions & Designations Associate Data Scientist / Junior ML Engineer (3–5 Yrs) Data Scientist / Senior Data Scientist (5–10 Yrs) Lead Data Scientist / AI Engineer (8–12 Yrs) Principal Data Scientist / AI Solutions Architect (10–15 Yrs) Director – Data Science & AI Strategy (15–20 Yrs) Key Responsibilities (Scale with Level) Professional (3–5 Yrs) Clean, preprocess, and analyze structured and unstructured data for model building. Build and evaluate ML models (classification, regression, clustering). Work with Python, R, and libraries like Scikit-learn, TensorFlow, PyTorch . Support data preparation, feature engineering, and exploratory data analysis (EDA). Create basic dashboards and visualizations to share findings with stakeholders. Collaborate with data engineers to productionize analytics pipelines. Mid-Level (5–10 Yrs) Design and deploy end-to-end ML/AI solutions in enterprise environments. Develop deep learning models for NLP, computer vision, and recommendation systems. Integrate ML pipelines with cloud data platforms (AWS SageMaker, Azure ML, GCP Vertex AI). Implement MLOps best practices for model lifecycle management. Conduct advanced statistical modeling, A/B testing, and causal inference. Mentor junior team members and lead analytics initiatives. Senior/Leadership (10–20 Yrs) Define and execute enterprise AI and data science strategy . Lead AI innovation programs (Generative AI, LLMs, reinforcement learning). Partner with executives to drive AI-driven digital transformation initiatives . Build and manage global data science teams and delivery frameworks. Ensure AI/ML governance, ethical AI compliance, and data privacy standards. Represent organization in AI/ML conferences, publications, and thought leadership . Skills & Tools Core Skills: Machine Learning, Deep Learning, NLP, Predictive Modeling, AI Solutions Programming: Python, R, SQL, Java, Scala ML Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn, Hugging Face Transformers Cloud AI Platforms: AWS SageMaker, Azure ML, GCP Vertex AI Big Data: Spark, Databricks, Snowflake, BigQuery, Redshift Visualization: Power BI, Tableau, Matplotlib, Seaborn MLOps Tools: MLflow, Kubeflow, Airflow, Docker, Kubernetes Preferred Certifications: Google Professional Machine Learning Engineer AWS Certified Machine Learning – Specialty Microsoft Certified: Azure AI Engineer Associate Qualifications Bachelor’s/Master’s/PhD in Data Science, Computer Science, Statistics, Mathematics, or related field. 3+ years of experience in data science, AI, or advanced analytics roles. Proven expertise in building ML/DL models and deploying them in production. Experience with big data ecosystems and cloud AI platforms . For leadership roles: Strong experience in strategy, innovation, and global team management. Why Join Us? Collaborate with Fortune 500 enterprises on AI-first transformation projects . Work on cutting-edge ML, deep learning, NLP, and generative AI initiatives . Exposure to global projects, certifications, and leadership opportunities . Competitive compensation, remote flexibility, and global career growth. How to Apply For quick consideration, please email your resume and include the desired position and experience level (e.g., “Data Engineer – Mid-Level”) in the subject line.
We are Hiring: Data Engineers Enterprise Data Platforms & Analytics (50+ Openings | 3 - 20 Yrs Exp | Multiple Levels) Location: Mumbai / Pune / Chandigarh / Bengaluru / Gurugram / Noida / New Delhi / Kolkata / Hyderabad . Chennai ( Remote and Hybrid options are available for some roles) Industry: Fortune 500 Client Projects (Staffing via Hatchtra Innotech Pvt. Ltd.) Employment Type: Full-Time / Contract (C2H) About us: Hatchtra is a leading staffing and workforce solutions company, trusted by Fortune 500 organizations and global enterprises to build their technology teams. When you join us, you'll work directly with our Fortune 500 client teams that power mission-critical systems worldwide. About the Role We are looking for Data Engineers (3-20 years) to design, build, and maintain scalable data pipelines and enterprise data platforms. This role is ideal for engineers passionate about big data, cloud data platforms, ETL/ELT processes, and analytics engineering to support global enterprises in their digital transformation journey. From data ingestion to advanced analytics enablement , you will play a critical role in turning raw data into actionable insights. Open Positions & Designations Associate Data Engineer (3-5 Yrs) Data Engineer / Senior Data Engineer (5-10 Yrs) Lead Data Engineer / Analytics Engineer (812 Yrs) Data Engineering Manager / Solutions Architect (1015 Yrs) Director – Data Platforms & Engineering (15–20 Yrs) Key Responsibilities Scale with Level Professional (3–5 Yrs) Design and implement ETL/ELT pipelines to integrate data from various sources. Build and optimize data warehouses and data lakes on cloud or on-prem platforms. Work with SQL, Python, or Scala for data processing and transformation. Implement data quality checks and validation frameworks. Support analytics teams by making clean, reliable data available. Develop basic automation scripts for data ingestion and reporting workflows. Mid-Level (5–10 Yrs) Lead data integration projects across structured, semi-structured, and unstructured data. Optimize pipelines for performance, scalability, and cost-effectiveness . Implement data modeling best practices for analytics and BI. Collaborate with data scientists, analysts, and product teams to enable ML/AI use cases. Deploy streaming data pipelines using Kafka, Kinesis, or Azure Event Hub. Manage and improve data governance, lineage, and metadata management . Senior/Leadership (10–20 Yrs) Define enterprise data engineering strategy and architecture standards . Lead multi-cloud data platform modernization initiatives (AWS, Azure, GCP). Build and manage global data engineering teams and delivery models. Partner with executives to deliver data-driven transformation programs . Oversee compliance, data security, and privacy frameworks (GDPR, HIPAA, SOC2). Drive innovation in real-time analytics, serverless data processing, and AI-driven data engineering . Skills & Tools Core Expertise: ETL/ELT Development, Data Modeling, Pipeline Automation, Data Warehousing Programming: SQL, Python, Scala, Java Data Platforms: Snowflake, BigQuery, Azure Synapse, Amazon Redshift, Databricks Orchestration: Apache Airflow, AWS Step Functions, Azure Data Factory, dbt Streaming: Kafka, Kinesis, Azure Event Hubs, Spark Streaming Big Data Tools: Apache Spark, Hadoop, Hive Cloud Expertise: AWS, Azure, GCP (multi-cloud deployments) DevOps for Data: Docker, Kubernetes, Terraform, CI/CD for DataOps Preferred Certifications: Google Professional Data Engineer AWS Certified Data Analytics – Specialty Microsoft Certified: Azure Data Engineer Associate Qualifications Bachelor’s/Master’s in Computer Science, Data Engineering, or related field. 3+ years of experience in data engineering, ETL/ELT, or data platform development. Strong proficiency in SQL, Python/Scala , and cloud-native data services. Experience in building scalable, secure, and automated pipelines . Proven leadership and strategic architecture experience for senior roles. Why Join Us? Contribute to enterprise-scale data transformation projects . Collaborate with Fortune 500 companies and global engineering teams. Exposure to cutting-edge cloud data platforms and big data technologies . Career growth, certifications, and flexible work options. How to Apply For quick consideration, please email your resume and include the desired position and experience level (e.g., “Data Engineer – Mid-Level”) in the subject line.
Were Hiring: L2 Production Support – Application & System Monitoring Roles (50+ Openings | 3–12 Yrs Experience | 2 Levels & Multiple Designations) Location: Mumbai / Pune / Chandigarh / Bengaluru / Gurugram / Noida / New Delhi (WFO, Hybrid, or Remote Based on Role) Industry: Fortune 500 Client Projects (Staffing via Hatchtra Innotech Pvt. Ltd.) Employment Type: Full-Time | Contract (C2H) Rapid hiring with 50+ open positions across two levels About us: We are a leading staffing and workforce solutions company, trusted by Fortune 500 organizations and global enterprises to build their technology teams. When you join us, you’ll work directly with our Fortune 500 client teams that power mission-critical systems worldwide. About the Role We are hiring skilled L2 Production Support professionals to join a high-performance operations team responsible for real-time monitoring, issue resolution, and stability of mission-critical enterprise systems. Whether you're a mid-level engineer or a senior technical lead, this is your chance to work on global platforms, contribute to uptime and automation, and collaborate with cross-functional teams in a high-stakes production environment. Open Positions & Designations Level 1 – L2 Production Support Engineer (3–8 Yrs) Designations: Support Engineer Senior Support Engineer Application Support Analyst Application Support Specialist Ideal For: Mid-level engineers who thrive on debugging, automation, and ensuring smooth system operations. Level 2 – L2 Production Support Lead (8+ Yrs) Designations: Technical Lead – Production Support Production Support Lead Ideal For: Senior professionals ready to own production stability, lead incidents, and guide technical teams in high-availability environments. Key Responsibilities (Role-Based) L2 Production Support Engineer (3–8 Yrs) Monitor production systems, resolve incidents in real time Write and optimize SQL queries for issue resolution Automate recurring UNIX/Linux tasks Use tools like Splunk, Grafana, and AppDynamics for diagnostics Investigate and close L2 tickets, ensuring SLA compliance Collaborate with Dev, QA, and Infra teams during releases and issues L2 Production Support Lead (8+ Yrs) Own the resolution of critical incidents and escalations Perform root cause analysis and implement long-term fixes Debug Java-based systems and analyze logs Lead and mentor junior support engineers Oversee production stability, uptime, and performance tuning Partner with global stakeholders to drive support strategy Skills & Tools Core Technologies SQL: Querying, tuning, data investigation UNIX/Linux: Shell scripting, cron jobs, automation Java: Debugging and log analysis (Lead Level) Monitoring Tools Splunk Grafana AppDynamics Methodologies & Practices ITIL (Incident, Change, Problem Management) Escalation Management On-call & 24x7 Production Support Root Cause & Impact Analysis Qualifications Bachelor’s degree in Computer Science, Engineering, or related IT field 3–12 years of relevant experience in Production or Application Support Proficiency in SQL, UNIX/Linux; Java experience for senior roles Exposure to monitoring tools and ticketing systems Strong communication, documentation, and cross-team collaboration skills Why Join Us? Be part of a high-impact, mission-critical operations team Work with global cross-functional engineering and support groups Hands-on with modern production tooling & enterprise systems Flexible work modes – WFO, Hybrid, or Fully Remote (role-based) How to Apply For quick consideration, please email your resume and include the desired position and experience level (e.g., “Data Engineer – Mid-Level”) in the subject line.
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