Job Title: Data ScientistLocation: Chandigarh (Work from Office)Experience Required: 3+ YearsCompany: SparkBrains Private Limited Job Description:We are looking for a Data Scientist with 3+ years of hands-on experience in Machine Learning, Deep Learning, and Large Language Models (LLMs). The ideal candidate should possess strong analytical skills, ex

Job Description1. Data Acquisition- Candidate should manage the existing Data pipelines built for data ingestion.- Create and manage new data pipelines following the best practices for the new ingestion of data.- Continuously monitor the data ingestion through Change Data Capture for the incremental load.- Any failed batch job schedule to be analyzed and fixed

Spark Brains is the best website design, development, and digital marketing company in India that can meet all of your business needs. We focus on providing high value to clients by providing reliable, integrated, responsive, innovative, and cost-effective solutions that drive business growth.

SparkBrains is a firm specializing in technological solutions for businesses - the ones that exist, and the ones that are still in their nascent stages. With a vision of delivering innovative solutions through cutting-edge technology, SparkBrains is the best website design, development, and digital marketing company in India that can meet all of your business needs.

We extend this expertise to many industry verticals, be it Fintech, EduTech, Healthcare, Social Networking, Chat Apps, Mobile Games, Marketplaces, and Food Delivery - to name a few. Our primary goal is to assist our clients in achieving their business objectives by providing innovative web design and development services.

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Job Title: Data ScientistLocation: Chandigarh (Work from Office)Experience Required: 3+ YearsCompany: SparkBrains Private Limited Job Description:We are looking for a Data Scientist with 3+ years of hands-on experience in Machine Learning, Deep Learning, and Large Language Models (LLMs). The ideal candidate should possess strong analytical skills, expertise in data modeling, and the ability to develop and deploy AI-driven solutions that add value to our business and clients. Key Responsibilities:1) Data Collection &amp; Preprocessing: Gather, clean, and prepare structured and unstructured data for model training and evaluation.2) Model Development: Design, develop, and optimize machine learning and deep learning models to solve real-world business problems.3) LLM Integration: Build, fine-tune, and deploy Large Language Models (LLMs) for various NLP tasks, including text generation, summarization, and sentiment analysis.4) Feature Engineering: Identify relevant features and implement feature extraction techniques to improve model accuracy.5) Model Evaluation &amp; Optimization: Conduct rigorous evaluation and fine-tuning to enhance model performance and ensure scalability.6) Data Visualization &amp; Insights: Create dashboards and reports to communicate findings and insights effectively to stakeholders.7) API Development &amp; Deployment: Develop APIs and integrate AI/ML models into production systems.8) Collaboration &amp; Documentation: Collaborate with cross-functional teams to understand business requirements and document all processes and models effectively. Required Skills &amp; Qualifications: 1) Proficiency in Python and relevant ML/AI libraries such as TensorFlow, PyTorch, Scikit-Learn, etc.2) Hands-on experience with LLMs (e.g., OpenAI, Hugging Face, etc.) and fine-tuning models.3) Strong understanding of Natural Language Processing (NLP), neural networks, and deep learning architectures.4) Knowledge of data wrangling, data visualization, and feature engineering techniques.5) Experience with APIs, cloud platforms (AWS, Azure, or GCP), and deployment of AI models in production.6) Analytical &amp; Problem-Solving Skills: Strong analytical mindset with the ability to interpret data and derive actionable insights.7) Communication Skills: Excellent verbal and written communication skills to effectively collaborate with technical and non-technical teams.

Job Title: Data ScientistLocation: Chandigarh (Work from Office)Experience Required: 3+ YearsCompany: SparkBrains Private Limited Job Description:We are looking for a Data Scientist with 3+ years of hands-on experience in Machine Learning, Deep Learning, and Large Language Models (LLMs). The ideal candidate should possess strong analytical skills, expertise in data modeling, and the ability to develop and deploy AI-driven solutions that add value to our business and clients. Key Responsibilities:1) Data Collection &amp; Preprocessing: Gather, clean, and prepare structured and unstructured data for model training and evaluation.2) Model Development: Design, develop, and optimize machine learning and deep learning models to solve real-world business problems.3) LLM Integration: Build, fine-tune, and deploy Large Language Models (LLMs) for various NLP tasks, including text generation, summarization, and sentiment analysis.4) Feature Engineering: Identify relevant features and implement feature extraction techniques to improve model accuracy.5) Model Evaluation &amp; Optimization: Conduct rigorous evaluation and fine-tuning to enhance model performance and ensure scalability.6) Data Visualization &amp; Insights: Create dashboards and reports to communicate findings and insights effectively to stakeholders.7) API Development &amp; Deployment: Develop APIs and integrate AI/ML models into production systems.8) Collaboration &amp; Documentation: Collaborate with cross-functional teams to understand business requirements and document all processes and models effectively. Required Skills &amp; Qualifications: 1) Proficiency in Python and relevant ML/AI libraries such as TensorFlow, PyTorch, Scikit-Learn, etc.2) Hands-on experience with LLMs (e.g., OpenAI, Hugging Face, etc.) and fine-tuning models.3) Strong understanding of Natural Language Processing (NLP), neural networks, and deep learning architectures.4) Knowledge of data wrangling, data visualization, and feature engineering techniques.5) Experience with APIs, cloud platforms (AWS, Azure, or GCP), and deployment of AI models in production.6) Analytical &amp; Problem-Solving Skills: Strong analytical mindset with the ability to interpret data and derive actionable insights.7) Communication Skills: Excellent verbal and written communication skills to effectively collaborate with technical and non-technical teams.

Job OverviewSpark Brains Pvt. Ltd. is seeking a qualified Power BI Developer for a mid-level position. The successful candidate will have 4 to 6 years of relevant experience and will join our team on a full-time basis. The role is based in Chandigarh, Gurgaon, Noida, Mohali, Panchkula, or Delhi. The Developer will utilize Power BI to create, manage, and optimize business intelligence reports and dashboards, ensuring high-quality data solutions for our clients. Qualifications and Skills<ul><li>Proven experience of at least 4 years in developing reports, dashboards, and visualizations using Power BI.</li><li>Proficient in DAX for creating intricate calculations and efficient data models.</li><li>Expert knowledge of SQL to handle data queries, data validation, and transformations.</li><li>Experience with data modeling to design relational and multidimensional models in Power BI.</li><li>Strong understanding of Power Query for data manipulation and cleansing tasks.</li><li>Knowledge of ETL processes and the ability to implement them for data flow management.</li><li>Experience with Azure Analysis Services to enhance and optimize data models.</li><li>Proficiency with Power BI Service for deploying and sharing reports across the organization.</li></ul> Roles and Responsibilities<ul><li>Develop, deploy, and maintain scalable Power BI reports and dashboards to support business analytics.</li><li>Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.</li><li>Optimize data models and performance to ensure swift and accurate report rendering.</li><li>Implement best practices for data visualization, ensuring clarity and insightfulness in dashboard design.</li><li>Provide expert guidance and support to team members in using Power BI tools and features.</li><li>Conduct regular audits and validations to ensure data integrity and accuracy in reporting.</li><li>Maintain documentation for all dashboards, reports, and data models for consistency and transparency.</li><li>Stay updated with the latest Power BI features and tools to recommend improvements and integrations.</li></ul> Company OverviewSpark Brains Pvt. Ltd. is a leading IT service provider based in Chandigarh, specializing in web design, development, and digital marketing solutions. Our mission is to drive business growth for our clients through innovative and cost-effective technological solutions. Across various industry verticals such as Fintech, EduTech, and Healthcare, we prioritize user experience in all our services. To learn more, visit our website at <a href="https://sparkbrains.in/" rel="noopener noreferrer" target="_blank">sparkbrains.in</a>.

1. Data Acquisition- Candidate should manage the existing Data pipelines built for data ingestion.- Create and manage new data pipelines following the best practices for the new ingestion of data.- Continuously monitor the data ingestion through Change Data Capture for the incremental load.- Any failed batch job schedule to be analyzed and fixed to capture the data.- Maintaining and continuously updating the technical documentation of the ingested data and maintaining the centralized data dictionary, with necessary data classifications.2. Data Extraction and Cleaning- Extraction of data from the data sources to be cleaned and ingested into a big data platform.- Automation of data cleaning has to be defined before ingestions.- Data cleaning to handle the missing data and remove any outliers and resolve any inconsistencies.- Data quality check has to be performed in terms of accuracy, completeness, consistency, timeliness, believability, and interpretability.3. Data Integration, Aggregation and Representation- Exposing Data views or Data models to Reporting and source systems using Hive or Impala, or similar tools.- Exposing cleansed data to the Artificial Intelligence team for building data science models.4. Informatica Data Catalog- Implement and configure the Informatica Enterprise Data Catalog (EDC) solution to discover and catalog data assets across the organization.- Develop and maintain custom metadata scanners, resource configurations, and lineage extraction processes.- Integrate EDC with other Informatica tools, such as Data Quality (IDQ), Master Data Management (MDM), and Axon Data Governance.- Define and implement data classification, data profiling, and data quality rules to improve data visibility, accuracy, and trustworthiness.- Collaborate with data stewards, data owners, and data governance teams to identify, document, and maintain business glossaries, data dictionaries, and data lineage information.- Establish and maintain data governance policies, standards, and procedures within the EDC environment.- Monitor and troubleshoot EDC performance issues, ensuring optimal performance and data availability.- Train and support end-users in effectively utilizing the data catalog for data discovery and analysis.- Keep up to date with industry best practices and trends, continuously improving the organization's data catalog implementation.- Collaborate with cross-functional teams to drive data catalog adoption and ensure data governance compliance across the organization. Skill Set: - Certified Big Data Engineer from Cloudera/AWS/Azure- Expertise with Big data products – Cloudera stack.- Expertise in Big Data querying tools, such as Hive, Hbase, and Impala.- Expertise in SQL, writing complex queries/views, partitions, and bucketing.- Strong Experience in Spark using Python/Scala.- Expertise in messaging systems, such as Kafka or RabbitMQ.- Hands-on experience in the Management of the Hadoop cluster with all included services.- Implementing ETL process using Sqoop/Spark.- Implementation including loading from disparate data sets, Pre-processing using Hive.- Ability to design solutions independently based on high-level architecture.- Collaborate with other development teams.- Expertise in building stream-processing systems, using solutions such as Spark-Streaming, Apache NIFI, and KAFKA.- Expertise with NoSQL databases such as HBase.- Experience with Informatica Enterprise Data Catalog (EDC) implementation and administration.- Strong knowledge of data management, data governance, and metadata management concepts.- Proficiency in SQL and experience with various databases (e.g., Oracle, SQL Server, PostgreSQL) and data formats (e.g., XML, JSON, CSV).- Experience with data integration, ETL/ELT processes, and Informatica Data Integration.

1. Data Acquisition- Candidate should manage the existing Data pipelines built for data ingestion.- Create and manage new data pipelines following the best practices for the new ingestion of data.- Continuously monitor the data ingestion through Change Data Capture for the incremental load.- Any failed batch job schedule to be analyzed and fixed to capture the data.- Maintaining and continuously updating the technical documentation of the ingested data and maintaining the centralized data dictionary, with necessary data classifications.2. Data Extraction and Cleaning- Extraction of data from the data sources to be cleaned and ingested into a big data platform.- Automation of data cleaning has to be defined before ingestions.- Data cleaning to handle the missing data and remove any outliers and resolve any inconsistencies.- Data quality check has to be performed in terms of accuracy, completeness, consistency, timeliness, believability, and interpretability.3. Data Integration, Aggregation and Representation- Exposing Data views or Data models to Reporting and source systems using Hive or Impala, or similar tools.- Exposing cleansed data to the Artificial Intelligence team for building data science models.4. Informatica Data Catalog- Implement and configure the Informatica Enterprise Data Catalog (EDC) solution to discover and catalog data assets across the organization.- Develop and maintain custom metadata scanners, resource configurations, and lineage extraction processes.- Integrate EDC with other Informatica tools, such as Data Quality (IDQ), Master Data Management (MDM), and Axon Data Governance.- Define and implement data classification, data profiling, and data quality rules to improve data visibility, accuracy, and trustworthiness.- Collaborate with data stewards, data owners, and data governance teams to identify, document, and maintain business glossaries, data dictionaries, and data lineage information.- Establish and maintain data governance policies, standards, and procedures within the EDC environment.- Monitor and troubleshoot EDC performance issues, ensuring optimal performance and data availability.- Train and support end-users in effectively utilizing the data catalog for data discovery and analysis.- Keep up to date with industry best practices and trends, continuously improving the organization's data catalog implementation.- Collaborate with cross-functional teams to drive data catalog adoption and ensure data governance compliance across the organization. Skill Set: - Certified Big Data Engineer from Cloudera/AWS/Azure- Expertise with Big data products – Cloudera stack.- Expertise in Big Data querying tools, such as Hive, Hbase, and Impala.- Expertise in SQL, writing complex queries/views, partitions, and bucketing.- Strong Experience in Spark using Python/Scala.- Expertise in messaging systems, such as Kafka or RabbitMQ.- Hands-on experience in the Management of the Hadoop cluster with all included services.- Implementing ETL process using Sqoop/Spark.- Implementation including loading from disparate data sets, Pre-processing using Hive.- Ability to design solutions independently based on high-level architecture.- Collaborate with other development teams.- Expertise in building stream-processing systems, using solutions such as Spark-Streaming, Apache NIFI, and KAFKA.- Expertise with NoSQL databases such as HBase.- Experience with Informatica Enterprise Data Catalog (EDC) implementation and administration.- Strong knowledge of data management, data governance, and metadata management concepts.- Proficiency in SQL and experience with various databases (e.g., Oracle, SQL Server, PostgreSQL) and data formats (e.g., XML, JSON, CSV).- Experience with data integration, ETL/ELT processes, and Informatica Data Integration.