984 Data Bricks Jobs - Page 28

Data Engineering Lead Analyst - HIH - Evernorth About Evernorth:Evernorth Health Services, a division of The Cigna Group (NYSECI), creates pharmacy, care, and benefits solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention, and treatment of illness and disease more accessible to millions of people.POSITION SUMMARY: The Data Engineering Lead Analyst will be a key contributor to ensure the successful delivery of ETL Production Services and Application Support. To be successful in this role, you must understand ETL processes and be experienced in supporting Production Services applications. You must also have excellent communication skills and be able to build and maintain relationships with both internal and external stakeholders.They will be responsible for partnering with key players in Customer Service, Client Service, Provider Service, and Workforce Planning, while drawing on support from Technology, Finance, Strategy, Operational Readiness, and Solutions Delivery. ESSENTIAL FUNCTIONS:Production support activities such as trouble shooting, operational efficiencies, release management, etc. Develop SSIS code, steward existing ETL jobs, manage DB space and tune queries. Provide support for defect resolution and triage.Participate in proof of concepts for software tools/technologies related to application or process development. Provide support on CI/CD pipelines and automation. Ultimately responsible for maintaining solutions and maintain documentation related to production systems, including standard operating procedures, and troubleshooting guides.QUALIFICATIONS:Experience in Production support role.Performance Tuning and optimizing experience of SQL, PL/SQL code to reduce execution time or improve efficiency.Hands-on experience in SSIS, SQL Server, Oracle, and SQL.Experience with scheduling tools such as CA Workload Automation. Strong understanding of database concepts and experience with query optimization and performance tuning.Excellent troubleshooting and problem-solving skills, with the ability to analyze complex issues and implement effective solutions.Strong communication and interpersonal skills, with the ability to work collaboratively in a fast-paced environment. Primary Skills: SSIS, SQL (SQL Server, Oracle, Teradata)Job Scheduling (Airflow, DAG, Control M, etc.)Performance Tuning, Site Reliability Engineering, Issue ResolutionPython, DevOps, Basic Cloud Experience (AWS/Azure/GCP)Additional Skills: Databricks, Cloud Certification (AWS Cloud Practitioner or similar), Apache Spark About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

Software Engineering Senior Analyst ABOUT EVERNORTH: Evernorthexists to elevate health for all, because we believe health is the starting point for human potential and progress. As champions for affordable, predictable and simple health care,we solve the problems others don’t, won’t or can’t. We are always looking upward. And that starts with finding the right talent to help us get there. Position Overview Responsibilities Participate in daily stand-up meeting to verify all the ongoing tickets status. Estimating data ingestion work in datalake based on entity count and complexity Work on designing suitable Azure cloud data management solutions to address the business stakeholder’s needs with regards to their data ingestion, processing, and transmission to downstream systems Participate in discussion and lead team to understand requirement to ingest and transform data into datalake and make available processed data to different target databases Review developed ingestion code to ingest the data from different sources in datalake Review and perform impact analysis on proposed solutions for Optimizing long running jobs Keep track of job after deployment and identify performance bottlenecks, failures, data growth Track support ticket, triage, fix and deploy Review prepared Root Cause Analysis document Firm grasp on the processes and standard operation procedures and influencing the fellow team members in following them. Engaged in fostering and improving organizational culture. Qualifications Required Skills: Minimum of 5-8 years of professional experience Experience administering the following Data Warehouse Architecture Components: 5+ years with Azure Technologies 5+ years with Azure - Data Factory(ADF), ADLSGen2, Storage Account, Lakehouse Analytics, Synapse, SQL DB, Databricks 5+ years with SQL Server, Python, Scala, SSIS, SSRS Understanding of Data access, Data Retention, and archiving Good hands on experience on troubleshooting data error and ETL jobs Good understanding of ETL process and agile framework Good Communication skills Required Experience & Education: Software engineer (with 5-8 years of overall experience) with at-least 5 years in the key skills listed above Bachelor’s degree equivalent in Information Technology, Computer Science, Technology Management, or related field of study. Location & Hours of Work: Hyderabad and Hybrid (11:30 AM IST to 8:30 PM IST) Equal Opportunity Statement Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations. About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your role Develop and maintain data pipelines tailored to Azure environments, ensuring security and compliance with client data standards. Collaborate with cross-functional teams to gather data requirements, translate them into technical specifications, and develop data models. Leverage Python libraries for data handling, enhancing processing efficiency and robustness. Ensure SQL workflows meet client performance standards and handle large data volumes effectively. Build and maintain reliable ETL pipelines, supporting full and incremental loads and ensuring data integrity and scalability in ETL processes. Implement CI/CD pipelines for automated deployment and testing of data solutions. Optimize and tune data workflows and processes to ensure high performance and reliability. Monitor, troubleshoot, and optimize data processes for performance and reliability. Document data infrastructure, workflows, and maintain industry knowledge in data engineering and cloud tech. Your Profile Bachelors degree in computer science, Information Systems, or a related field 4+ years of data engineering experience with a strong focus on Azure data services for client-centric solutions. Extensive expertise in Azure Synapse, Data Lake Storage, Data Factory, Databricks, and Blob Storage, ensuring secure, compliant data handling for clients. Good interpersonal communication skills Skilled in designing and maintaining scalable data pipelines tailored to client needs in Azure environments. Proficient in SQL and PL/SQL for complex data processing and client-specific analytics. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Data Engineer Description: Degree and Qualification: BE/B.Tech, ME/M.Tech in CSE/IT, Statistics, or a related field. Masters degree in data science, AI, or a related field is preferred. Number of Years of Experience as a Data Analyst / Scientist3-8 years Language Skills: Good communication skills in English, proficiency in German is an added advantage. Domain Knowledge: Strong understanding of supply chain and supplier performance evaluation processes. Familiarity with procurement, supplier management, inbound processes, and logistics concepts like goods receipt, delivery note, and part numbers. Basic knowledge of plant logistics and operational efficiency. Technical Skills: Python, PySpark, SQL, Power BI (Advanced Level), Databricks, Azure/AWS, Machine Learning, Data Visualization, TensorFlow, PyTorch, and deploying ML models in production. Digital Expertise: 1. Power BI Desktop (advanced): o Advanced knowledge of building dashboards, creating data models, and writing DAX expressions, o Ability to develop custom visualizations in Power BI using Python scripts / other suitable methods to create charts and data representations not supported natively by Power BI o Ability to write Python scripts to process and transform data within Power Query for advanced analytics and visualization scenarios. o Strong design / Power BI UI/ UX skills to ensure Power BI dashboards aligns with business objectives and effectively tells a data-driven story. o Power BI Service (advanced):Experience in publishing, refreshing, and managing reports in Power BI Service, including RLS and data gateways. 2. Machine Learning & AI: o Experience in building predictive models using machine learning algorithms such as regression, classification, clustering, and anomaly detection. o Familiarity with AI concepts like neural networks, NLP, or reinforcement learning. 3. Data Wrangling & Analysis: o Proficiency in Python and popular data libraries like Pandas, NumPy, and Scikit-learn. o Experience in PySpark for distributed data processing and large-scale data transformation. o Strong SQL skills for querying relational databases, optimizing queries, and handling complex datasets. 4. Communication & Stakeholder Management: o Ability to effectively communicate technical insights to non-technical stakeholders. o Strong customer-facing communication skills and experience collaborating with cross-functional teams. Behavioral / Personal Skills: Willingness to learn and apply new skills. High adaptability and readiness to handle unstructured tasks. Strong analytical mindset, with a focus on problem-solving and result-oriented thinking. Team player with excellent communication and interpersonal skills. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. - Grade Specific Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.

Responsibilities: Azure Data Factory – design ETL processes and create complex pipelines SQL / T-SQL Python XML, Json, Excel, CSV data bricks, data lake, synapse Azure DLS Gen 2 Azure Data Factory working with Graph Databases

Company Overview Accordion works at the intersection of sponsors and management teams throughout every stage of the investment lifecycle, providing hands-on, execution-focused support to elevate data and analytics capabilities. So, what does it mean to work at Accordion? It means joining 1,000+ analytics, data science, finance & technology experts in a high-growth, agile, and entrepreneurial environment while transforming how portfolio companies drive value. It also means making your mark on Accordions futureby embracing a culture rooted in collaboration and a firm-wide commitment to building something great, together. Headquartered in New York City with 10 offices worldwide, Accordion invites you to join our journey. Data & Analytics (Accordion | Data & Analytics) Accordion's Data & Analytics (D&A) team delivers cutting-edge, intelligent solutions to a global clientele, leveraging a blend of domain knowledge, sophisticated technology tools, and deep analytics capabilities to tackle complex business challenges. We partner with Private Equity clients and their Portfolio Companies across diverse sectors, including Retail, CPG, Healthcare, Media & Entertainment, Technology, and Logistics. D&A team delivers data and analytical solutions designed to streamline reporting capabilities and enhance business insights across vast and complex data sets ranging from Sales, Operations, Marketing, Pricing, Customer Strategies, and more. Location: Hyderabad, Telangana Role Overview: Accordion is looking for Senior Data Engineer with Database/Data Warehouse/Business Intelligence experience. He/she will be responsible for the design, development, configuration/deployment, and maintenance of the above technology stack. He/she must have in depth understanding of various tools & technologies in the above domain to design and implement robust and scalable solutions which address client current and future requirements at optimal costs. The Senior Data Engineer should be able to understand various architecture and recommend right fit depending on the use case of the project. A successful Senior Data Engineer should possess strong working business knowledge, familiarity with multiple tools and techniques along with industry standards and best practices in Business Intelligence and Data Warehousing environment. He/she should have strong organizational, critical thinking, and communication skills. What You will do: Understand the business requirements thoroughly to design and develop the BI architecture. Determine business intelligence and data warehousing solutions that meet business needs. Perform data warehouse design and modelling according to established standards. Work closely with the business teams to arrive at methodologies to develop KPIs and Metrics. Work with Project Manager in developing and executing project plans within assigned schedule and timeline. Develop standard reports and functional dashboards based on business requirements. Ensure to develop and deliver high quality reports in timely and accurate manner. Conduct training programs and knowledge transfer sessions to junior developers when needed. Recommend improvements to provide optimum reporting solutions. Ideally, you have: Undergraduate degree (B.E/B.Tech.) from tier-1/tier-2 colleges are preferred. 2 - 5 years of experience in related field. Proven expertise in SSIS, SSAS and SSRS (MSBI Suite). In-depth knowledge of databases (SQL Server, MySQL, Oracle etc.) and data warehouse (Azure Synapse, AWS Redshift, Google BigQuery, Snowflake etc.). In-depth knowledge of business intelligence tools (any one of Power BI, Tableau, Qlik, DOMO, Looker etc.). Good understanding of Azure (Data Factory & Pipelines, SQL Database & Managed Instances, DevOps, Logic Apps, Analysis Services), AWS (Glue, Aurora Database, Dynamo Database, Redshift, QuickSight). Proven abilities to take on initiative and be innovative. Analytical mind with problem solving attitude. Why Explore a Career at Accordion: High growth environment: Semi-annual performance management and promotion cycles coupled with a strong meritocratic culture, enables fast track to leadership responsibility. Cross Domain Exposure: Interesting and challenging work streams across industries and domains that always keep you excited, motivated, and on your toes. Entrepreneurial Environment : Intellectual freedom to make decisions and own them. We expect you to spread your wings and assume larger responsibilities. Fun culture and peer group: Non-bureaucratic and fun working environment; Strong peer environment that will challenge you and accelerate your learning curve. Other benefits for full time employees: Health and wellness programs that include employee health insurance covering immediate family members and parents, term life insurance for employees, free health camps for employees, discounted health services (including vision, dental) for employee and family members, free doctors consultations, counsellors, etc. Corporate Meal card options for ease of use and tax benefits. Team lunches, company sponsored team outings and celebrations. Robust leave policy to support work-life balance. Specially designed leave structure to support woman employees for maternity and related requests. Reward and recognition platform to celebrate professional and personal milestones. A positive & transparent work environment including various employee engagement and employee benefit initiatives to support personal and professional learning and development.

Key Responsibilities: Work with business analysts and data architects to translate requirements into technical implementations. Design, develop, implement, and maintain pyspark code through Databricks UI that enables data and analytics use cases for the client Code, test, and document new or modified data systems to create robust and scalable applications for data analytics. Dive deep into performance, scalability, capacity, and reliability problems to resolve issues. Take on research projects and POC to improve data processing. Work and Technical Experience: Must-Have Skills: 5+ Hands on Experience with Databricks and PySpark Proficiency in SQL and data manipulation skills Good understanding of data warehousing concepts and technologies. Good-to-Have Skills: Understanding of Google Pub sub/Kafka/Mongo DB Familiarity with ETL processes and tools for data extraction, transformation, and loading. Knowledge of cloud platforms like Databricks, Snowflake, Google Cloud Familiarity with data governance and data quality best practices. Qualifications: Bachelors degree in computer science, engineering, or related field Demonstrated continued learning through one or more technical certifications or related methods 5+ years of relevant experience in Data Analytics Relevant experience in Retail domain. Qualities: Self-motivated and focused on delivering outcomes for a fast-growing team and firm Able to communicate persuasively through speaking, writing, and client presentations Able to consult, write, and present persuasively Able to work in a self-organized and cross-functional team Able to iterate based on new information, peer reviews, and feedback Able to work with teams and clients in different time zones Research focused mindset

Notice 30 to 45 days. * Design, develop & maintain data pipelines using PySpark, Databricks ,Unity Catalog & cloud. * Collaborate with cross-functional teams on ETL processes & report development. Share resume : garima.arora@anetcorp.com

Role & responsibilities Senior Data Engineer (C2H Position) Strong Looking for 6+ years of experience Hadoop, Spark, SQL Data Brick Python Scripting Preferred candidate profile

OneMagnify is looking for Databricks AI Engineer to join our dynamic team and embark on a rewarding career journey Build scalable AI models using Databricks and ML frameworks Optimize data pipelines for model training and deployment Collaborate with data scientists and engineering teams Ensure reliability and performance of AI systems

OneMagnify is looking for Databricks Engineer to join our dynamic team and embark on a rewarding career journey Develop and optimize big data solutions using Databricks Implement ETL workflows and manage Spark environments Ensure performance tuning and security compliance Collaborate with analytics and data science teams

We are looking for an experienced Azure Data Engineer with 2+ years of hands-on experience in Azure Data Lake and Azure Data Factory. The ideal candidate will have a strong background in connecting data sources to the Data Lake, writing PiSpark SQL codes, and building SSIS packages. Additionally, experience in data architecture, data modeling, and creating visualizations is essential. Key Responsibilities : Work with Azure Data Lake and Azure Data Factory to design, implement, and manage data pipelines. Connect various data sources (applications, databases, etc.) to the Azure Data Lake for storage and processing. Write PiSpark SQL codes and SSIS packages for data retrieval and transformation from different data sources. Design and develop efficient Data Architecture and Data Modeling solutions to support business requirements. Create data visualizations to communicate insights to stakeholders and decision-makers. Optimize data workflows and pipelines for better performance and scalability. Collaborate with cross-functional teams to ensure seamless data integration and delivery. Ensure data integrity, security, and compliance with best practices. Skills and Qualifications : 2+ years of experience working with Azure Data Lake, Azure Data Factory, and related Azure services. Proficiency in writing PiSpark SQL codes for data extraction and transformation. Experience in developing SSIS packages for data integration and automation. Strong understanding of Data Architecture and Data Modeling concepts. Experience in creating effective and insightful data visualizations using tools like Power BI or similar. Familiarity with cloud-based storage and computing concepts and best practices. Strong problem-solving skills with an ability to troubleshoot and optimize data workflows. Ability to collaborate effectively in a team environment and communicate with stakeholders. Preferred Qualifications : Certifications in Azure (e.g., Azure Data Engineer or similar) would be a plus. Experience with other Azure tools like Azure Synapse, Databricks, etc.

About the role We are seeking a Sr. Practice Manager with Insight , you will be involved in different phases related to Software Development Lifecycle including Analysis, Design, Development and Deployment. We will count on you to be proficient in Software Design and Development, data modelling, data processing and data visualization. Along the way, you will get to: Help customers leverage existing data resources, implement new technologies and tooling to enable data science and data analytics Track the performance of our resources and related capabilities Experience mentoring and managing other data engineers and ensuring data engineering best practices are being followed. Constantly evolve and scale our capabilities along with the growth of the business and needs of our customers Be Ambitious : This opportunity is not just about what you do today but also about where you can go tomorrow. As a Practice Manager, you are positioned for swift advancement within our organization through a structured career path. When you bring your hunger, heart, and harmony to Insight, your potential will be met with continuous opportunities to upskill, earn promotions, and elevate your career. What were looking for Sr. Practice Manager with: Total of 14+ yrs of relevant experience, atleast 5-6 years in people management, managing 20+ team. Minimum 12 years of experience in Data technology. Experience in Data Warehouse and excellent command in SQL, data modeling and ETL development. Hands-on experience in SQL Server, Microsoft Azure (Data Factory, Data Lake, Data Bricks) Experience in MSBI (SSRS, SSIS, SSAS), writing queries and stored procedures. (Good to have) Experienced using Power BI, MDX, DAX, MDS, DQS. (Good to have) Experience developing design related to Predictive Analytics model Ability to handle performance improvement tasks & data archiving. Proficient in relevant provisioning of Azure resources, forecasting hardware usage, and managing to a budget.

Ability to take full ownership and deliver component or functionality. Supporting the team to deliver project features with high quality and providing technical guidance. Responsible to work effectively individually and with team members toward customer satisfaction and success Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise SQL ADF Azure Data Bricks Preferred technical and professional experience PostgreSQL, MSSQL Eureka Hystrix, zuul/API gateway In-Memory storage

Template Job Title - Decision Science Practitioner Analyst S&C GN Management Level:Analyst Location:Bangalore/ Kolkata/Hyderabad Must have skills: Data engineering with Python or pyspark Good to have skills: Gen AI Job Summary : We are seeking a highly skilled and motivated Data Science Analyst to lead innovative projects and drive impactful solutions in domains such as Consumer Tech, Enterprise Tech, and Semiconductors. This role combines designing, building, and maintaining scalable data pipelines and infrastructure, and client delivery management to execute cutting-edge projects in data science & data engineering Key Responsibilities Generative AI Expertise Develop fine-tune models for NLP, Computer Vision, and multimodal applications, leveraging GenAI frameworks. Design and implement evaluation strategies to optimize model performance (e.g., BLEU, ROUGE, FID). Architect deployment solutions, including API development and seamless integration with existing systems. Data Science and Engineering Design, build, and maintain robust, scalable, and efficient data pipelines (ETL/ELT). Work with structured and unstructured data across a wide variety of data sources. Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements. Optimize data systems and architecture for performance, scalability, and reliability. Monitor data quality and support initiatives to ensure clean, accurate, and consistent data. Develop and maintain data models and metadata. Implement and maintain best practices in data governance, security, and compliance. Required Qualifications Experience: 2+ years in data engineering/data science Education: B tech, M tech in Computer Science, Statistics, Applied Mathematics, or related field Technical Skills Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL). Strong programming skills in Python, Scala, or Java. Language & Frameworks - Python, SQL, scikit-learn, TensorFlow or PyTorch Data Tools:Pandas, NumPy, Matplotlib, Seaborn Orchestration - DBT, Apache Airflow GenAI & LLM Tooling :LangChain, LlamaIndex, Hugging Face Transformers, vector databases (e.g., FAISS, Pinecone) Good knowledge of ML Ops best practices and processes. Experience with big data technologies such as Spark or Hive. Familiarity with cloud platforms like AWS, Azure, or GCP, especially services like S3, Redshift, BigQuery, or Azure Data Lake. Experience with orchestration tools like Airflow, Luigi, or similar. Solid understanding of data warehousing concepts and data modelling techniques. Good problem-solving skills and attention to detail. Preferred Skills Experience with modern data stack tools like dbt, Snowflake, or Databricks. Knowledge of CI/CD pipelines and version control (e.g., Git). Exposure to containerization (Docker, Kubernetes) and infrastructure as code (Terraform, CloudFormation). Additional Information: - The ideal candidate will possess a strong educational background in quantitative discipline and experience in working with Hi-Tech clients - This position is based at our Bengaluru (preferred), Kolkata and Hyderabad office. About Our Company | Accenture Qualification Experience: 2+ years in data engineering and/or data science Educational Qualification:B tech, M tech in Computer Science, Statistics, Applied Mathematics, Engineering or related field

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. You will collaborate with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Your typical day will involve working on the data platform blueprint and design, collaborating with architects, and ensuring seamless integration between systems and data models. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist with the data platform blueprint and design.- Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models.- Work on data platform components.- Participate in team discussions to provide valuable insights.- Contribute to solving work-related problems. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Good To Have Skills: Experience with data integration tools.- Strong understanding of data platform components and architecture.- Experience in designing and implementing data models.- Knowledge of data integration best practices.- Familiarity with data governance and security.- Hands-on experience with data platform implementation.- Ability to troubleshoot and resolve data platform issues. Additional Information:- The candidate should have a minimum of 2 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Software Configuration Engineer Project Role Description : Implement the configuration management plan as directed by the Configuration Lead. Assist in the design of software configuration and customization to meet the business process design and application requirements. Must have skills : Spring Boot Good to have skills : JavaMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Configuration Engineer, you will be responsible for implementing the configuration management plan as directed by the Configuration Lead. You will assist in the design of software configuration and customization to meet the business process design and application requirements. Your day will involve collaborating with the team to ensure smooth configuration processes and customization. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Assist in the design of software configuration and customization- Excellent presentation, and communication skills. Professional & Technical Skills: - Must To Have Skills: Proficiency in Spring Boot, Java- Experience of 5-12 years working in Java Spring boot for implementing projects with high SLA of data availability and data quality, exposure to Cloud technologies (Azure preferred) is a major plus.- 8+ years of strong delivery experience in Backend Development, Java Spring Boot, J2EE, REST. Experience using DevOps toolsets like GitLab, Jenkins, TDD/BDD tools like PyTest , Cucumber.- Hands-on experience working with build tools like Maven/Gradle. Experience of working on Kubernetes / OpenShift, Containerization (Docker, Podman or Similar), Cloud Native technologies and frameworks (e.g. Spring Boot).- Hands-on experience on with PostgreSQL or similar (RDBMS concepts) .- Experience working in any cloud platform and preferably in Azure development including Databricks , Azure Services , ADLS etc- While not necessary, experience of working with Kafka and Elastic Search will be a plus- A real passion for and experience of Agile working practices, with a strong desire to work with baked in quality subject areas such as TDD, BDD, test automation and DevOps principles Additional Information:- The candidate should have a minimum of 8 years of experience in Spring Boot.- This position is based at our client office Pune Kharadi . Looking for candidates who are willing to work 3 days a week from Client office. A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : Microsoft Azure Data Services, Microsoft Azure Analytics ServicesMinimum 12 year(s) of experience is required Educational Qualification : Full Tim Education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. Your typical day will involve collaborating with the team to develop and implement solutions that align with the organization's goals and objectives. You will utilize your expertise in Databricks Unified Data Analytics Platform to create efficient and effective applications that enhance business processes and drive innovation. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Collaborate with stakeholders to gather requirements and understand business needs.- Design and develop applications using Databricks Unified Data Analytics Platform.- Configure and customize applications to meet specific business process requirements.- Perform code reviews and ensure adherence to coding standards.- Provide technical guidance and mentorship to junior team members. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Good To Have Skills: Experience with Microsoft Azure Data Services, Microsoft Azure Analytics Services.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 12 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Chennai office.- A Full Time Education is required. Qualification Full Tim Education

Role & responsibilities : Data Analysis & Insights Analyze and transform large datasets to identify actionable insights into customer experience touchpoints. Use statistical techniques and tools to improve success metrics and answer business questions. Reporting & Visualization Create dashboards, reports, and visualizations to communicate analytical findings effectively. Present insights to senior leaders using data storytelling and actionable recommendations. Consultation & Collaboration. Preferred candidate profile 4-6 years of experience in analytics, statistics, or informatics. Technical Skills • Proficiency in SQL, Python, and data visualization tools (e.g., Power BI). Experience with Databricks and handling large datasets. Bonus: Familiarity with Azure Analysis Services, NLP, or machine learning techniques. Behavioral Skills Strong analytical mindset with excellent problem-solving and storytelling abilities.

12+ yrs of experience in Data Architecture Strong in Azure Data Services & Databricks, including Delta Lake & Unity Catalog Experience in Azure Synapse, Purview, ADF, DBT, Apache Spark,DWH,Data Lakes, NoSQL,OLTP NP-Immediate sachin@assertivebs.com

5+ years with Python, PySpark, SQL and SparkSQL

Location: Bangalore, Hyderabad, Chennai Notice Period: Immediate to 20 days Experience: 5+ years Relevant Experience: 5+ years Skills: Data Engineer, Azure, Python, Panda, SQL, Pyspark, SQL, Databricks, Data pipeline, Synapse

Job Title: Senior Data Engineer Data Products Location: Chennai, India Open Roles: 2 Mode: Hybrid About the Role Are you a hands-on data engineer who thrives on solving complex data challenges and building modern cloud-native solutions? We're looking for two experienced Senior Data Engineers to join our growing Data Engineering team. This is an exciting opportunity to work on cutting-edge data platform initiatives that power advanced analytics, AI solutions, and digital transformation across a global enterprise. In this role, you'll help design and build reusable, scalable, and secure data pipelines on a multi-cloud infrastructure, while collaborating with cross-functional teams in a highly agile environment. What You’ll Do Design and build robust data pipelines and ETL frameworks using modern tools and cloud platforms. Implement lakehouse architecture (Bronze/Silver/Gold layers) and support data product publishing via Unity Catalog. Work with structured and unstructured enterprise data including ERP, CRM, and product data systems. Optimize pipeline performance, reliability, and security across AWS and Azure environments. Automate infrastructure using IaC tools like Terraform and AWS CDK. Collaborate closely with data scientists, analysts, and platform teams to deliver actionable data products. Participate in agile ceremonies, conduct code reviews, and contribute to team knowledge sharing. Ensure compliance with data privacy, cybersecurity, and governance policies. What You Bring 3+ years of hands-on experience in data engineering roles. Strong command of SQL and Python ; experience with Scala is a plus. Proficiency in cloud platforms (AWS, Azure), Databricks , DBT , Airflow , and version control tools like GitLab . Hands-on experience implementing lakehouse architectures and multi-hop data flows using Delta Lake . Background in working with enterprise data systems like SAP, Salesforce, and other business-critical platforms. Familiarity with DevOps , DataOps , and agile delivery methods (Jira, Confluence). Strong understanding of data security , privacy compliance , and production-grade pipeline management. Excellent communication skills and ability to work in global, multicultural teams. Why Join Us? Opportunity to work with modern data technologies in a complex, enterprise-scale environment. Be part of a collaborative, forward-thinking team that values innovation and continuous learning. Hybrid work model that offers both flexibility and team engagement . A role where you can make a real impact by contributing to digital transformation and data-driven decision-making.

Role: Performance Testing Specialist Databricks Pipelines Job Seniority: Advanced (4-6 years) OR Experienced (3-4 years) Location: Magarpatta City,Pune Unit: Amdocs Data and Intelligence Mandatory SKills: All Skills must be in the resume in the roles and responsibilities Strong understanding of Databricks, Apache Spark, and performance tuning techniques for distributed data processing systems. Hands-on experience in Spark (PySpark/Scala) performance profiling, partitioning strategies, and job parallelization. 2+ year s of experience in performance testing and load simulation of data pipelines. Solid skills in SQL, Snowflake, and analyzing performance via query plans and optimization hints. Familiarity with Azure Databricks, Azure Monitor, Log Analytics, or similar observability tools. Proficient in scripting (Python/Shell) for test automation and pipeline instrumentation. Experience with DevOps tools such as Azure DevOps, GitHub Actions, or Jenkins for automated testing. Comfortable working in Unix/Linux environments and writing shell scripts for monitoring and debugging. Notice Period: Only Serving NP candidate who can join in the month of June ( 15 days to Immediate) Excellent Communication SKills This is C2H role. Interested Candidate Share Resume at dipti.bhaisare@in.experis.com

Defines, designs, develops, test software components/applications using Microsoft Azure- (Databricks, Data Factory, Data Lake Storage, Logic Apps, Azure Key Vaults, ADLS) Strong SQL skills, Structured & unstructured datasets, Data Modeling Required Candidate profile Must Have Databricks, Python, SQL, Pyspark Big Data Ecosystem Spark Ecosystem Azure (ADF, ADB, Logic Apps, Azure SQL database, Azure Key Vaults, ADLS, Synapse) AWS Data Modelling, ETL Methodology.