2,007 Data Systems jobs in India
Head, Data Systems
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1. POSITION(S) VACANT: Head, Data Systems, The Antara Foundation, New Delhi
2. ORGANIZATION BACKGROUND:
The Antara Foundation (TAF) envisions a world where women and children do not suffer from preventable health conditions. TAF believes that every mother and each child deserve an equal start to a healthy life. TAF supports the public health system deliver solutions at scale, to improve maternal and child health outcomes, by partnering with government and communities. Interventions of The Antara Foundation follow two closely integrated paths: to help the government system deliver better quality health care to the community and to support the community mobilize and seek better health outcomes.
The TAF team is young, energetic, and passionate, working across eight districts, 38 blocks, 5,700 villages, with 20,000 Frontline Health Workers (FLWs), and reaching 379,000 women and 650,000 children in central India. Over the next few years, TAF sees itself spreading across multiple locations in India to implement their solutions and to create an impact at scale.
For more information about TAF visit
3. JOB DESCRIPTION / RESPONSIBILITIES:
Reporting to the Chief Executive Officer, the Head Data Systems (HDS) shall be responsible for implementing high-quality data collection, analysis, and reporting systems. The role requires working closely with program teams to measure impact, as well as contribute to program design. The Head of Data Systems will focus on continuously innovating on monitoring tools and approaches, leading a team of data specialists, and contributing to the organization's overall strategy. This position requires strong leadership, technical expertise in M&E processes, and the ability to collaborate across teams and functions to ensure TAFs programs deliver measurable impact.
Key Roles and Responsibilities:
(A) Program Monitoring
(1) Lead a team of Senior Associates and Associates to develop and manage data collection, quality control, analysis and reporting frameworks to monitor program implementation and outputs;
(2) Identify relevant indicators to track inputs, outputs, and outcomes along program Theory of Change;
(3) Manage multiple data tools and systems; conceptualize and implement innovations in TAFs monitoring system to match the highest industry standards;
(4) Oversee the transition to a new database management system, including project management, stakeholder coordination, design and training, and alignment with evolving program needs;
(B) Data-driven Insights and Impact Analysis
(1) Lead the team to conceptualize and create program dashboards to provide real-time insights in an easy to access manner;
(2) Use program monitoring data to provide timely insights for effective program implementation to the Program Directors, and collaborate on how best to use data for decision making;
(3) Work closely with the Knowledge Management team to codify and analyze data trends for impact studies;
(4) Primary responsibility for distilling program data for periodic reporting to donors, as well as for presentation to external stakeholders.
(C) Strategic and Operational Leadership
(1) Work closely with the program teams to ensure a smooth transition to the new DBMS system – troubleshoot issues, evaluate need for improvements and provide continuous guidance, training and handholding of teams as needed;
(2) Work in close collaboration with the CEO, the Program Leadership, and the Knowledge Management and Communications team to translate data findings into key messages, research areas/papers, and strategic decision making;
(3) Work in collaboration with the program and donor development team to capture and report program progress and implementation insights;
(4) Manage multiple projects/workstreams, ensuring high-quality output, and timely delivery contributing directly to the achievement of our organizational goals;
(5) Generate actionable insights into program strengths and gaps, and work with the senior leadership to use these insights in improving program design and implementation.
(6) Contribute to the overall strategy and planning process for the organization, as well as brainstorm on new initiatives, partnerships, and programs;
(7) Represent TAF at external meetings, conferences, and events, as required. Support TAF in external partnership projects as required;
(8) Support the design and implementation of evaluation studies, to assess the impact of program interventions from time to time including support of data collection, use of government data, coordination with external and independent experts and third-party evaluators.
(D) Team Management
(1) Coach and mentor reportees in developing and managing the M&E system and processes and contribute to their professional growth;
(2) Train and orient program team members on data collection, analysis and interpretation techniques;
(3) Design the structure of the data team in ways that maximizes effectiveness and efficiency.
4. QUALIFICATIONS, EXPERIENCE AND COMPETENCIES:
Qualifications
Applicants must have Master's in Public Health/ Statistics/ Economics/ Development Studies / Population Studies or other related fields;
Experience
(1) Applicants must have atleast eight years of work experience in leading and managing data systems for mid to large size social purpose organizations;
(2) Experience in public health would be preferred;
(3) Experience in designing and implementing program evaluations or research projects would be preferred but not essential.
Skills and Competencies
(1) Advanced knowledge of statistical methods and analysis of qualitative and quantitative data packages like SPSS, STATA, NVivo;
(2) Familiarity with data collection and aggregation tools, designing data-linked reports, summary dashboards and database management systems; expertise in using tools like ODK, Google Data Studios, PowerBi, advanced Excel and google sheets;
(3) Knowledge of result-based management systems/ approaches like logical framework, logic model, Outcome Mapping (OM), Theory of Change (ToC), Social Frameworks, Participatory Rural Appraisal (PRA), Impact evaluation, Randomized Controlled Trials (RCTs), Process evaluation, Implementation Research methods, would be desirable;
(4) Understanding of various government data portals, particularly in public health and nutrition;
(5) Excellent skills in oral and written communications - ability to present information in a structured and insightful manner.
5. COMPENSATION OFFERED:
The gross compensation budgeted for the position is attractive. Please note that the offer made to the selected candidate shall be commensurate with qualifications, experience, and salary history.
6. TRAVEL: This role will also involve a fair amount of travel to the field implementation areas.
7. LOCATION: Delhi
8. REFERENCE: HDS-TAF
9. CONTACT INFORMATION:
Team SAMS
Strategic Alliance Management Services P Ltd.
1/1B, Choudhary Hetram House, Bharat Nagar
New Friends Colony, New Delhi
Phone Nos.: ;
10. APPLICATION PROCESS:
Eligible candidates interested in the position are requested to apply using the link by or before January 20, 2025.
Data Systems Architect
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Unlock Your Potential in Data Engineering
As a Data Engineer at our organization, you will play a vital role in architecting, building, and optimizing scalable data pipelines and workflows. You will manage AWS resources end-to-end: from configuration to optimization and debugging. In this fast-paced startup environment, you will work closely with product and engineering teams to enable high-velocity business impact.
Key Responsibilities:
- We are looking for an experienced Data Engineer to join our team.
Highly Preferred Skills:
- Experience with orchestration tools such as Airflow or similar
- Familiarity with the Python data ecosystem: SQLAlchemy, DuckDB, PyArrow, Pandas, NumPy
- Exposure to DLT (Data Load Tool)
Minimum Requirements:
- At least 3 years of professional experience in Data Engineering
- Demonstrated end-to-end ownership of ETL pipelines
- Deep, hands-on experience with AWS services: EC2, Athena, Lambda, and Step Functions
- Strong proficiency in MySQL
- Working knowledge of Docker: setup, deployment, and troubleshooting
Benefits of Joining Our Team:
- You will be part of a dynamic team working on cutting-edge projects
- A comprehensive benefits package including medical, dental, and vision insurance
- A 401(k) plan with company match
- A generous paid time off policy
We Value Independence and Ownership:
- Candidates who thrive in fast-paced startup environments
- Takers of true ownership
- Motivated by impact—not just lines of code
To confirm you've read this section in full, please include Red Panda in your application. We look forward to hearing from you.
Data Systems Architect
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Job Summary:
This role requires a Data Engineer with expertise in architecting, building, and optimizing scalable data pipelines and workflows. The ideal candidate will have end-to-end ownership of ETL pipelines, hands-on experience with AWS services such as EC2, Athena, Lambda, and Step Functions, and strong proficiency in MySQL.
The successful candidate will be able to automate and scale data processes, build foundational data systems that drive critical business decisions, and work closely with product and engineering teams to enable high-velocity business impact.
Key Responsibilities:
- Design, develop, and deploy scalable data pipelines and workflows
- Manage AWS resources end-to-end: from configuration to optimization and debugging
- Collaborate with cross-functional teams to identify and prioritize business requirements
- Develop automated solutions to optimize data processes
- Build and maintain high-quality, reliable data systems
Requirements:
- At least 3 years of professional experience in Data Engineering
- Demonstrated end-to-end ownership of ETL pipelines
- Deep, hands-on experience with AWS services: EC2, Athena, Lambda, and Step Functions
- Strong proficiency in MySQL
- Working knowledge of Docker: setup, deployment, and troubleshooting
Bonus Skills:
- Experience with orchestration tools such as Airflow or similar
- Hands-on with PySpark
- Familiarity with the Python data ecosystem: SQLAlchemy, DuckDB, PyArrow, Pandas, NumPy
About This Role:
This is an exciting opportunity for a motivated Data Engineer to join our team and contribute to the success of our organization. If you are passionate about data engineering and have a strong desire to make a meaningful impact, we encourage you to apply.
Data Systems Engineer
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Shift Ahead is seeking a highly skilled data professional to create autonomous AI systems that can engage in client discussions, understand needs and plan, reason, learn, and act independently or collaboratively across dynamic real-world environments.
Expertise in the data domain is required with experience in data/ai modeling. A strong background in Azure, Databricks, Snowflakes, and other related technologies is necessary.
Primary Responsibilities:- Design and develop interoperability, data ingestion, and data normalization solutions.
- Manage structured & non-structured data for effective use.
- Create semantic layers to enhance data understanding.
- Integrate APIs for seamless data exchange.
- Design and implement cognitive architectures, memory systems, and planning algorithms to enable self-reflective agents.
- Integrate large language models (LLMs), symbolic reasoning, and generative AI components into cohesive agent frameworks.
- Work closely with cross-functional teams in product development, UX design, robotics, cloud engineering, and data science.
- 4+ years of experience in AI/ML development with a focus on autonomous agents or AI planning.
- Proven hands-on experience with agentic frameworks such as LangChain, AutoGen, or similar custom agent toolkits.
- Sound experience working with LLMs, transformers, RAG pipelines, and model fine-tuning.
Proficiency in Python is required; knowledge of AI/ML libraries (PyTorch, TensorFlow, Hugging Face) is desirable. Familiarity with cloud environments (AWS, GCP, Azure) and vector databases (Pinecone, Milvus, Chroma) is highly desirable.
Data Systems Manager
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Job Title: Senior Database Architect
Job DescriptionWe are seeking a highly experienced Senior Database Architect to design, implement and manage scalable data architectures for our growing fleet of databases across MSSQL, PostgreSQL and AWS-managed services.
This individual will play a key role in ensuring high availability and supporting development teams with optimised queries and resilient data pipelines.
- Maintain, monitor and tune production and staging MSSQL and PostgreSQL databases
- Manage high availability, backups, restores, replication and disaster recovery strategies
- Ensure uptime and performance SLAs are met across cloud and hybrid environments
The ideal candidate will have:
- 10+ years of DBA experience, including at least:
- 5+ years with MSSQL Server (SQL Agent, SSIS, performance tuning)
- 5+ years with PostgreSQL (query optimization, extensions, logical replication)
- Strong hands-on experience with AWS database services: RDS, Aurora, S3 and IAM integration
- Solid understanding of SQL query optimisation, execution plans and troubleshooting slow queries
- Proven track record of managing production-grade environments with strict uptime SLAs
- Familiarity with infrastructure-as-code and automation using tools like Terraform or Ansible
In addition to a competitive salary, our benefits package is second to none. Employee wellbeing is at the heart of our people strategy, with a number of innovative wellness initiatives such as flexi-time, where employees can vary their start and finish times within our core business hours and/or extend their lunch break by up to 2 hours per day.
Data Systems Architect
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Job Overview
We are seeking a seasoned professional to fill the role of Data Systems Architect. This position requires an individual with expertise in designing, building, and maintaining large-scale data processing systems.
Main Responsibilities- Design, develop, and implement ETL processes using Azure data storage, Azure data factory, and pipelines.
- Collaborate with team members to design and develop data warehousing and reporting solutions.
- Work closely with product management to prioritize and plan technical debt remediation and refactoring of data structures and stored procedures.
- Bachelor's degree in computer science or related field or work experience.
- 10+ years of strong experience with SQL Servers and relational databases.
- Strong experience working with older legacy code and systems.
- Expertise in Azure cloud technologies including ADF, Functions, DLS, Synapse.
- Proven skills in data visualization and reporting using SSRS and Power BI.
Data Systems Developer
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Unlock Business Value through Scalable Data Engineering
Job OverviewAs a key member of our data engineering team, you will design and develop scalable data pipelines to meet business needs. This role involves ingesting, transforming, and processing large datasets from various sources, ensuring data quality, security, and compliance.
Key Responsibilities- Design and develop ETL/ELT pipelines that cater to business requirements
- Ingest and transform data from APIs, databases, files, and streams in real-time and batch modes
- Build efficient data processing solutions using BigQuery, Databricks, Snowflake, and Apache Spark
- Ensure data validation, quality, and cleansing to maintain data integrity
- Maintain comprehensive documentation and best practices for data engineering
Proficiency in the following technologies is essential: Snowflake, AWS/GCP/Azure, Databricks (Lakehouse + Spark), BigQuery (Google Cloud), Azure Synapse / AWS Redshift, Kafka, Azure Data Factory, AWS Glue, Apache Spark, Apache Hadoop, Airflow, dbt, PySpark, SQL, Real-time & Batch Pipelines, Data Quality & Governance, Informatica, Talend, Collibra.
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Data Systems Architect
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The ideal candidate is an autonomous individual with a strong builder's mindset. Excellent communication skills, coupled with the ability to take ownership of projects, are highly valued.
At least 3 years of professional experience in Data Engineering, with demonstrated end-to-end ownership of ETL pipelines, is required.
- Hands-on experience with AWS services: EC2, Athena, Lambda, Step Functions
- Strong proficiency in MySQL
PREFERRED SKILLS INCLUDE:
- Orchestration tools like Airflow or similar
- PySpark
- Familiarity with the Python data ecosystem (SQLAlchemy, DuckDB, PyArrow, Pandas, NumPy)
- Exposure to DLT (Data Load Tool)
Key Responsibilities:
- Design and optimize scalable data pipelines and workflows
- Manage AWS resources from configuration to optimization and debugging
- Collaborate with product and engineering teams to drive business impact
- Automate and scale data processes
- Build foundational data systems that inform business decisions
Data Systems Specialist
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This is a key role for managing and maintaining databases hosted on cloud platforms like AWS, Azure or Google Cloud. The ideal candidate will have a passion for database technologies and cloud infrastructure.
- Job Responsibilities:
- Provision, configure and maintain cloud-hosted databases.
- Monitor database performance and availability using cloud-native tools.
- Ensure data security, backup and recovery processes are implemented and adhered to.
- Migrate databases to the cloud from on-premises systems.
- Create users, roles and permission policies for database access.
- Troubleshoot basic database issues with guidance from senior DBAs.
- Document procedures, configurations and operational best practices.
- Collaborate with DevOps and development teams for database-related needs.
- A solid understanding of SQL and relational database concepts.
- Familiarity with at least one cloud platform (AWS / Azure / GCP) and their database offerings.
- Knowledge of database backup, restore and disaster recovery fundamentals.
- Awareness of database security best practices.
- Good problem-solving skills and a willingness to learn.
- Strong communication and teamwork abilities.
Educational Qualification:
- Bachelor's degree in computer science, Information Technology or a related field.
- Cloud certifications (AWS Cloud Practitioner / Azure Fundamentals / Google Cloud Digital Leader) are highly desirable.
Data Systems Developer
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This role is perfect for someone who loves working with data and wants to be part of a dynamic team.
Key Responsibilities:
• Collaborate with analysts to understand requirements and anticipate data needs.
• Design, implement, and maintain web scrapers for alternative datasets.
• Perform data cleaning, exploration, transformation, and other tasks as required.
• Collaborate with cross-functional teams to implement efficient data processing workflows.
• Author quality checks to validate data availability and integrity.
• Maintain alerting systems and investigate time-sensitive data incidents.
• Design and implement products and tools to enhance the web scraping platform.
Required Skills and Qualifications:
• Bachelor’s or master’s degree in computer science or a related field.
• 2-4 years of software development experience.
• Strong Python and SQL/database skills.
• Strong expertise in using the Pandas library.
• Experience with web technologies (HTML/JS, APIs, etc.).
• Proven work experience in working with large data sets.
• Excellent verbal and written communication skills.
• Aptitude for designing infrastructure, data products, and tools for data scientists.
Benefits:
• Opportunity to work on diverse projects and collaborate with talented individuals.
• Flexible work environment with opportunities for growth and development.
• Competitive salary and benefits package.
Others:
• Familiarity with scraping and common scraping tools is preferred.
• Experience containerizing workloads with Docker and Kubernetes is a plus.
• Experience with build automation and AWS technologies is also a plus.