Job Description

Who we are:

Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to the Customers.

Job Description:

Job Title : ETL & Analytics Engineer Databricks, SQL, Domo

Job Type : W2 / C2C

Experience : 8 to 10 years

Location : Georgia, New York / Remote

Responsibilities:

Gather and process large datasets from various internal and external sources, ensuring data accuracy and integrity.
Develop and maintain data pipelines and ETL processes for both Snowflake and Palantir environments.
Conduct exploratory data analysis, hypothesis testing, and root cause analysis on data sources and datasets.
Synthesize complex data into actionable insights for stakeholders, including engineers, architects, data scientists, business and technical leaders.
Collaborate with data scientists and engineering teams to support the development of rules-based algorithms, predictive models, and AI/ML or Generative AI solutions.
Provide data inputs, feature engineering, and performance analysis to enhance model accuracy and reliability.
Design and create dashboards, data visualizations, and presentations to communicate insights effectively to non-technical stakeholders.
Document and present complex methodologies and outcomes in a clear, concise manner for both technical and non-technical audiences.
Ensure that data management practices align with privacy and compliance standards relevant to public health.
Establish and maintain data governance frameworks, data dictionaries, and standard operating procedures.
Required Skills
Strong SQL skills and experience working with cloud data warehousing platforms such as Snowflake. (5+ years)
Proficiency in programming languages (Python, R, or similar) for data analysis and basic scripting. (3+ years)
Proven track record in translating business questions into analytical problems and delivering actionable insights. (8+ years)
Familiarity with ML concepts (feature engineering, model evaluation) and AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, etc.).
Excellent verbal and written communication skills, particularly in conveying technical information to diverse audiences.
Ability to collaborate in cross-functional teams (data science, IT, clinical teams, etc.) to deliver end-to-end solutions.
Preferred Skills
Demonstrated ability to use Palantir Foundry (or similar Palantir platforms) for data integration, analysis, and collaboration.
Hands-on experience with Generative AI models (e.g., GPT, BERT), and a strong understanding of large language models.
Practical exposure to building end-to-end predictive and prescriptive analytics solutions in a healthcare or public health context.
Experience leading or managing data analytics projects through the entire lifecycle, from requirements gathering to deployment and maintenance.
Familiarity with agile methodologies and cross-functional team leadership.
Proficiency in BI/reporting tools such as Tableau, Power BI, or Qlik to develop interactive dashboards and reports.
Proven ability to provide insights from complex datasets using advanced visualization techniques.
Under direction of First Senior Vice President, Finance or the Executive Director or their designees, directs and designs the development, maintenance and operation of computer based information systems and data processing applications to meet the objectives and requirements of the Corporation through providing reports, information, documentation and statistical data to facilitate the decision making process, planning, control, audit and review of Corporation plans and objectives.
General Tasks and Responsibilities Will Include:
Evaluates the feasibility of E.D.P. systems development and operating costs relative to benefits and objectives of the Corporation. Approves systems design.
Participates with technical, professional and managerial personnel in the analysis of proposed projects and programs and approves project requests from user departments and hospitals within the Corporation.
Approves selection of computer, communications and peripheral equipment to meet
program design and applications of projected requirements and workloads based on cost considerations, performance specifications, demonstration of performance, vendor support, care of operations, maintenance and all technical factors.
Approves programming language to be used and standards for the use of specific compilers, assemblers, communications, processors and other equipment.
Approves and establishes programs for development and implementation of operating systems to enable the Corporation's computer and related equipment to operate most efficiently.
Develops, establishes, maintains and controls appropriate levels of equipment and personnel consistent with the total Corporation's needs through integrating existing and emerging E.D.P. systems and applications into optimum management information systems and programs.
Forecasts and plans the growth of the department, developing the necessary personnel services and equipment budget.
Reviews the process of major information systems projects and data processing operations, corrects deficiencies in project fulfillment, slippages in schedules, cost overruns and operational inefficiencies.
Organizes the department to respond promptly to needs of other departments and maintains flexibility of operations.
Establishes and develops liaison with senior corporate management, user departments, hospitals, consultants and contractors engaged by the Corporation with regard to the services of the department.
Directs planning, scheduling and budgeting of approved projects within the department to meet requirements of implementation within time and cost estimates.
Selects personnel, recommends appointments, personnel changes and placements.
Evaluates personnel performance, makes recommendations regarding placement, salary changes, reclassifications, transfers, promotions, releases and disciplinary action where appropriate in the implementation of the Corporation's Personnel Rules and Regulations.
Directs the development of technical and professional education programs for departments to ensure that proper levels of professional and technical proficiency is maintained.
Assesses level of departmental employees' morale, establishes work performance standards, resolves employees' complaints and grievances, provides leadership to attain effective productivity levels, and initiates actions and recommendations to accomplish Department's objectives.

Qualification:

• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.

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