#WeAreHiring Position: Senior Analytics Engineer Location: Chennai Notice Period: Immediate to 30 days About the Role We’re looking for a passionate Senior Analytics Engineer to join our team in Chennai. You’ll design and scale modern data pipelines that power business insights, working with the latest data stack to build reliable, scalable, and impactful analytics solutions. Key Responsibilities Build and optimize data pipelines and workflows Design robust data models and transformations Enable business intelligence through scalable solutions Must-Have Skills Strong proficiency in SQL & Python Experience with Cloud Data Warehouses (Snowflake / BigQuery) Expertise in DBT (data modeling & transformation) Workflow orchestration with Airflow Familiarity with BI tools (Looker, Power BI, Tableau, Domo) Nice-to-Haves 3–6 years of experience Exposure to GCP, Prefect, and Data Governance How to Apply 📧 Send your resume to: recruitment@analytixhub.ai Visit: www.analytixhub.ai Subject Line: Senior Analytics Engineer #Hiring #SeniorAnalyticsEngineer #DataEngineering #Analytics #SQL #Python #Snowflake #BigQuery #DBT #Airflow #BI #ChennaiJobs #CareerOpportunity
Job Title: Data Engineer Experience: 2–3 Years Location: Chennai Notice Period: Immediate Joiners Preferred Job Summary: We are looking for a skilled and motivated Data Engineer with hands-on experience in ETL tools, cloud technologies, and data engineering best practices. The ideal candidate will have strong expertise in SQL and Python, excellent problem-solving abilities, and effective communication skills. Key Responsibilities: Design, develop, and maintain scalable ETL pipelines using tools such as Informatica , Talend , or Pentaho . Build and optimize data solutions on Snowflake or other cloud platforms ( AWS , Azure , or GCP ). Write and optimize complex SQL queries for data extraction, transformation, and analytics. Automate data workflows and transformations using Python and scripting tools. Collaborate with cross-functional teams to ensure data accuracy, availability, and governance. Troubleshoot data pipeline and performance issues efficiently. Required Skills and Qualifications: 2–3 years of hands-on experience in Data Engineering or ETL Development . Strong expertise in any one ETL tool — Informatica, Talend, or Pentaho. Experience with Snowflake or any major cloud platform (AWS, Azure, or GCP). Proficiency in SQL and Python for data transformation and automation. Excellent communication , analytical , and critical thinking skills. Ability to work independently and deliver high-quality results under tight timelines.
Operations Manager- IT Services Company Description AnalytixHub.ai bridges the gap between data consulting and engineering execution, helping businesses transform strategies into measurable outcomes. The company specializes in designing and operationalizing Data and AI ecosystems, offering services such as data strategy development, Data Engineering, predictive modeling, and intelligent dashboard creation etc. By blending business acumen, product thinking, and modern technology, AnalytixHub.ai delivers practical solutions that enable efficiency, growth, and competitive advantage for organizations. Founded by experienced analytics and technology leaders, the company combines the expertise of enterprise consulting with the agility of a modern data lab, focusing on results that make a tangible impact. Role Description This is a full-time, on-site role located in Chennai for the position of Operations Manager- IT Services. The Operations Manager will lead and manage IT operations, ensuring efficient service delivery and smooth management of day-to-day processes. Key responsibilities include supervising IT systems, driving operational strategies, overseeing technical support services, ensuring compliance with industry best practices, and managing service delivery standards. The role requires collaboration with cross-functional teams to optimize IT infrastructure, troubleshoot challenges, and align operations with the overall business goals. Responsibilities • Lead and manage day-to-day operations across delivery, support, and internal functions. • Develop and implement operational frameworks, policies, and SOPs to improve efficiency and productivity. • Collaborate with the leadership team on annual operational plans, resource forecasting, and capacity management. • Ensure seamless coordination between delivery, sales, HR, finance, customer success, and project teams. • Drive continuous improvement initiatives -process automation, efficiency programs, and cost optimization. • Manage vendor relationships, procurement, and outsourcing strategies when required. • Support pre-sales and onboarding by aligning delivery processes and capacity planning for new client engagements. Qualifications • Bachelor’s degree in engineering / computer science / business; MBA preferred • 7+ years of experience in IT services operations, delivery leadership, or PMO roles • Proven ability to scale delivery operations and establish operational processes • Strong experience in resource planning, financial management, and risk management • Excellent communication skills, with the ability to interact professionally with CXO-level stakeholders • Experience working with global clients across multi-time-zone delivery models • Knowledge of Data Analytics / Cloud / AI / Digital Transformation services is a plus • Exposure to ISO / SOC / GDPR / ITIL compliance and governance standards is a plus Job Location: Chennai, India (Work from Office)
Operations Manager- IT Services Company Description AnalytixHub.ai bridges the gap between data consulting and engineering execution, helping businesses transform strategies into measurable outcomes. The company specializes in designing and operationalizing Data and AI ecosystems, offering services such as data strategy development, Data Engineering, predictive modeling, and intelligent dashboard creation etc. By blending business acumen, product thinking, and modern technology, AnalytixHub.ai delivers practical solutions that enable efficiency, growth, and competitive advantage for organizations. Founded by experienced analytics and technology leaders, the company combines the expertise of enterprise consulting with the agility of a modern data lab, focusing on results that make a tangible impact. Role Description This is a full-time, on-site role located in Chennai for the position of Operations Manager- IT Services. The Operations Manager will lead and manage IT operations, ensuring efficient service delivery and smooth management of day-to-day processes. Key responsibilities include supervising IT systems, driving operational strategies, overseeing technical support services, ensuring compliance with industry best practices, and managing service delivery standards. The role requires collaboration with cross-functional teams to optimize IT infrastructure, troubleshoot challenges, and align operations with the overall business goals. Responsibilities Lead and manage day-to-day operations across delivery, support, and internal functions. Develop and implement operational frameworks, policies, and SOPs to improve efficiency and productivity. Collaborate with the leadership team on annual operational plans, resource forecasting, and capacity management. Ensure seamless coordination between delivery, sales, HR, finance, customer success, and project teams. Drive continuous improvement initiatives -process automation, efficiency programs, and cost optimization. Manage vendor relationships, procurement, and outsourcing strategies when required. Support pre-sales and onboarding by aligning delivery processes and capacity planning for new client engagements. Qualifications Bachelor's degree in engineering / computer science / business; MBA preferred 7+ years of experience in IT services operations, delivery leadership, or PMO roles Proven ability to scale delivery operations and establish operational processes Strong experience in resource planning, financial management, and risk management Excellent communication skills, with the ability to interact professionally with CXO-level stakeholders Experience working with global clients across multi-time-zone delivery models Knowledge of Data Analytics / Cloud / AI / Digital Transformation services is a plus Exposure to ISO / SOC / GDPR / ITIL compliance and governance standards is a plus Job Location: Chennai, India (Work from Office)
ey Responsibilities AI Solution Development Design and implement machine learning models for predictive analytics, automation, and optimization. Develop NLP-based applications such as chatbots, sentiment analysis, and document classification. Data Engineering & Integration Build and maintain data pipelines for structured and unstructured data. Integrate AI models into existing systems, ensuring seamless performance and scalability. Research & Innovation Stay updated with emerging AI technologies and frameworks. Experiment with new algorithms and approaches to improve accuracy and efficiency. Collaboration & Documentation Work closely with product managers, engineers, and business stakeholders to align AI solutions with organizational goals. Prepare technical documentation, model performance reports, and user guides. Required Skills & Qualifications Strong programming skills in Python (TensorFlow, PyTorch, Scikit-learn). Experience with NLP frameworks (spaCy, Hugging Face Transformers). Knowledge of cloud platforms (AWS, Azure, GCP) for AI deployment. Proficiency in API development and system integration. Solid understanding of data structures, algorithms, and statistics . Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
We are looking for a skilled Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data platforms. The ideal candidate will have strong experience in Snowflake, DBT Cloud, and SQL , with working knowledge of Python and GCP BigQuery . You will work closely with business and technical teams to ensure high-quality, reliable, and well-structured data for analytics and reporting. Key Responsibilities Build and maintain data pipelines using Snowflake and DBT Cloud. Write efficient SQL queries and create optimized data models. Develop ELT workflows for data ingestion, transformation, and loading. Work with Snowflake performance tuning, security, and cost optimization. Use DBT for data transformations, testing, and documentation. Automate tasks or validations using Python scripts. Support data solutions on GCP BigQuery and manage cloud resources. Troubleshoot issues, monitor pipelines, and ensure data accuracy. Collaborate with cross-functional teams to gather and deliver data requirements. Follow best practices for data quality, governance, and version control.
Company Description AnalytixHub.ai empowers businesses to transform data-driven strategies into tangible outcomes. By bridging data consulting with engineering execution, the company designs and implements Data & AI ecosystems that prioritize real-world impact. With expertise in analytics, business intelligence, and automation, AnalytixHub.ai helps organizations optimize operations, enhance decision-making speed, and build innovative digital solutions. Founded by industry veterans, the company combines enterprise rigor with the agility of modern data labs to deliver measurable efficiencies, growth, and competitive advantages. Role Description We are looking for an 2-6 experienced AI/ML Engineer who can design, build, and scale AI/ML solutions while leading a team of engineers. The ideal candidate will bridge business problems and AI solutions , own end-to-end ML delivery, and mentor team members. Key Responsibilities Design and build scalable data pipelines (batch and/or near real-time) Develop ETL/ELT processes to ingest data from multiple sources Optimize data models and queries for analytics and reporting Ensure data quality, reliability, and performance Collaborate with analytics and ML teams to enable data-driven solutions Maintain documentation and data governance standards Required Skills Strong SQL and Python skills Experience with relational databases (PostgreSQL, MySQL, SQL Server) Hands-on experience with data pipelines and orchestration tools Understanding of data warehousing concepts Experience with cloud platforms AWS/GCP/Azure/Snowflake Outcomes You Will Deliver Reliable, scalable data pipelines supporting analytics and ML use cases Reduced data latency and improved data availability Well-structured, analytics-ready datasets Improved performance and cost efficiency of data systems
Company Description AnalytixHub.ai empowers businesses to transform data-driven strategies into tangible outcomes. By bridging data consulting with engineering execution, the company designs and implements Data & AI ecosystems that prioritize real-world impact. With expertise in analytics, business intelligence, and automation, AnalytixHub.ai helps organizations optimize operations, enhance decision-making speed, and build innovative digital solutions. Founded by industry veterans, the company combines enterprise rigor with the agility of modern data labs to deliver measurable efficiencies, growth, and competitive advantages. Role Description We are looking for an 2-6 experienced AI/ML Engineer who can design, build, and scale AI/ML solutions while leading a team of engineers. The ideal candidate will bridge business problems and AI solutions , own end-to-end ML delivery, and mentor team members. Key Responsibilities Design and build scalable data pipelines (batch and/or near real-time) Develop ETL/ELT processes to ingest data from multiple sources Optimize data models and queries for analytics and reporting Ensure data quality, reliability, and performance Collaborate with analytics and ML teams to enable data-driven solutions Maintain documentation and data governance standards Required Skills Strong SQL and Python skills Experience with relational databases (PostgreSQL, MySQL, SQL Server) Hands-on experience with data pipelines and orchestration tools Understanding of data warehousing concepts Experience with cloud platforms AWS/GCP/Azure/Snowflake Outcomes You Will Deliver Reliable, scalable data pipelines supporting analytics and ML use cases Reduced data latency and improved data availability Well-structured, analytics-ready datasets Improved performance and cost efficiency of data systems
Job Title: Data Engineer – Snowflake & Talend Experience Required: 5–8 Years Key Responsibility: Design and implement scalable Snowflake data models to support analytical and reporting workloads. Develop, enhance, and maintain ETL/ELT pipelines using Talend for data ingestion and transformation. Ensure strong data governance practices, including data quality, lineage, and compliance controls. Optimize data pipelines for performance efficiency and Snowflake warehouse cost optimization. Build reusable ingestion frameworks and metadata-driven pipeline architectures. Collaborate with business stakeholders and cross-functional teams to gather and translate data requirements. Maintain comprehensive documentation covering data mappings, transformations, lineage, and overall architecture. Skillsets: Strong expertise in SQL and Snowflake data modeling. Hands-on experience with Talend ETL/ELT development. Solid understanding of ETL/ELT design patterns and orchestration concepts. Good knowledge of cloud-based data processing fundamentals. Experience working with ADLS and common file formats such as Parquet, ORC, and JSON. Proven experience in pipeline performance tuning and optimization. Familiarity with version control systems and CI/CD integration.