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We are seeking a highly skilled and experienced Power BI Lead / Architect to join our growing team. The ideal candidate will have a strong understanding of data warehousing, data modeling, and business intelligence best practices. This role will be responsible for leading the design, development, and implementation of complex Power BI solutions that provide actionable insights to key stakeholders across the organization.
Location - Pune (Hybrid 3 days)
Responsibilities:
Lead the design, development, and implementation of complex Power BI dashboards, reports, and visualizations.
Develop and maintain data models (star schema, snowflake schema) for optimal data analysis and reporting.
Perform data analysis, data cleansing, and data transformation using SQL and other ETL tools.
Collaborate with business stakeholders to understand their data needs and translate them into effective and insightful reports.
Develop and maintain data pipelines and ETL processes to ensure data accuracy and consistency.
Troubleshoot and resolve technical issues related to Power BI dashboards and reports.
Provide technical guidance and mentorship to junior team members.
Stay abreast of the latest trends and technologies in the Power BI ecosystem.
Ensure data security, governance, and compliance with industry best practices.
Contribute to the development and improvement of the organization's data and analytics strategy.
May lead and mentor a team of junior Power BI developers.
Qualifications:
8-12 years of experience in Business Intelligence and Data Analytics.
Proven expertise in Power BI development, including DAX, advanced data modeling techniques.
Strong SQL skills, including writing complex queries, stored procedures, and views.
Experience with ETL/ELT processes and tools.
Experience with data warehousing concepts and methodologies.
Excellent analytical, problem-solving, and communication skills.
Strong teamwork and collaboration skills.
Ability to work independently and proactively.
Bachelor's degree in Computer Science, Information Systems, or a related field preferred.
Experience: 4+ years.
Location: Vadodara & Pune
Skills Set- Snowflake, Power Bi, ETL, SQL, Data Pipelines
What you'll be doing:
- Develop, implement, and manage scalable Snowflake data warehouse solutions using advanced features such as materialized views, task automation, and clustering.
- Design and build real-time data pipelines from Kafka and other sources into Snowflake using Kafka Connect, Snowpipe, or custom solutions for streaming data ingestion.
- Create and optimize ETL/ELT workflows using tools like DBT, Airflow, or cloud-native solutions to ensure efficient data processing and transformation.
- Tune query performance, warehouse sizing, and pipeline efficiency by utilizing Snowflakes Query Profiling, Resource Monitors, and other diagnostic tools.
- Work closely with architects, data analysts, and data scientists to translate complex business requirements into scalable technical solutions.
- Enforce data governance and security standards, including data masking, encryption, and RBAC, to meet organizational compliance requirements.
- Continuously monitor data pipelines, address performance bottlenecks, and troubleshoot issues using monitoring frameworks such as Prometheus, Grafana, or Snowflake-native tools.
- Provide technical leadership, guidance, and code reviews for junior engineers, ensuring best practices in Snowflake and Kafka development are followed.
- Research emerging tools, frameworks, and methodologies in data engineering and integrate relevant technologies into the data stack.
What you need:
Basic Skills:
- 3+ years of hands-on experience with Snowflake data platform, including data modeling, performance tuning, and optimization.
- Strong experience with Apache Kafka for stream processing and real-time data integration.
- Proficiency in SQL and ETL/ELT processes.
- Solid understanding of cloud platforms such as AWS, Azure, or Google Cloud.
- Experience with scripting languages like Python, Shell, or similar for automation and data integration tasks.
- Familiarity with tools like dbt, Airflow, or similar orchestration platforms.
- Knowledge of data governance, security, and compliance best practices.
- Strong analytical and problem-solving skills with the ability to troubleshoot complex data issues.
- Ability to work in a collaborative team environment and communicate effectively with cross-functional teams
Responsibilities:
- Design, develop, and maintain Snowflake data warehouse solutions, leveraging advanced Snowflake features like clustering, partitioning, materialized views, and time travel to optimize performance, scalability, and data reliability.
- Architect and optimize ETL/ELT pipelines using tools such as Apache Airflow, DBT, or custom scripts, to ingest, transform, and load data into Snowflake from sources like Apache Kafka and other streaming/batch platforms.
- Work in collaboration with data architects, analysts, and data scientists to gather and translate complex business requirements into robust, scalable technical designs and implementations.
- Design and implement Apache Kafka-based real-time messaging systems to efficiently stream structured and semi-structured data into Snowflake, using Kafka Connect, KSQL, and Snow pipe for real-time ingestion.
- Monitor and resolve performance bottlenecks in queries, pipelines, and warehouse configurations using tools like Query Profile, Resource Monitors, and Task Performance Views.
- Implement automated data validation frameworks to ensure high-quality, reliable data throughout the ingestion and transformation lifecycle.
- Pipeline Monitoring and Optimization: Deploy and maintain pipeline monitoring solutions using Prometheus, Grafana, or cloud-native tools, ensuring efficient data flow, scalability, and cost-effective operations.
- Implement and enforce data governance policies, including role-based access control (RBAC), data masking, and auditing to meet compliance standards and safeguard sensitive information.
- Provide hands-on technical mentorship to junior data engineers, ensuring adherence to coding standards, design principles, and best practices in Snowflake, Kafka, and cloud data engineering.
- Stay current with advancements in Snowflake, Kafka, cloud services (AWS, Azure, GCP), and data engineering trends, and proactively apply new tools and methodologies to enhance the data platform.
looking for Trainer who has experience on any one in Data Analytics Tableau, Power BI, Excel, MYSQL
Job description
Experience: At least 1 year of experience in imparting trainings Bachelor / Master degree in any field
Requirements :
- Good interpersonal with excellent communication skills
- Imparting Training on Tableau, Excel,SQL, Python or R Programming, Statistics.
- Good understanding of Data Analysis concepts and understanding of Machine Learning, Big Data, Business Intelligence Tools.
- Conduct online and classroom training sessions by providing practical use cases and assignments
- Able to cater College Seminar, Workshop, Corporate training.
- Provide Interview Preparation and placement assistance to students
- Manage Data Analytics Training Content including Session Presentations, Assignments, and Quizzes.
Python• Work with various stakeholders, understand requirements, and build solutions/data pipelines
that address the needs at scale
• Bring key workloads to the clients’ Snowflake environment using scalable, reusable data
ingestion and processing frameworks to transform a variety of datasets
• Apply best practices for Snowflake architecture, ELT and data models
Skills - 50% of below:
• A passion for all things data; understanding how to work with it at scale, and more importantly,
knowing how to get the most out of it
• Good understanding of native Snowflake capabilities like data ingestion, data sharing, zero-copy
cloning, tasks, Snowpipe etc
• Expertise in data modeling, with a good understanding of modeling approaches like Star
schema and/or Data Vault
• Experience in automating deployments
• Experience writing code in Python, Scala or Java or PHP
• Experience in ETL/ELT either via a code-first approach or using low-code tools like AWS Glue,
Appflow, Informatica, Talend, Matillion, Fivetran etc
• Experience in one or more of the AWS especially in relation to integration with Snowflake
• Familiarity with data visualization tools like Tableau or PowerBI or Domo or any similar tool
• Experience with Data Virtualization tools like Trino, Starburst, Denodo, Data Virtuality, Dremio
etc.
• Certified SnowPro Advanced: Data Engineer is a must.
Senior Software Engineer
MUST HAVE:
POWER BI with PLSQL
experience: 5+ YEARS
cost: 18 LPA
WHF- HYBRID
Job Description:
- Bookkeeping and accounting in Tally ERP, Xero, QuickBooks, and applicable accounting software
- Responsible for preparation and management of books of accounts, records, and documents for foreign entities
- Preparation and reporting of Monthly/periodical MIS.
- Managing billing, receivables, and collection.
- Liaising with foreign consultants with respect to Bookkeeping, compliances
- Ensure compliance under various laws for payroll and non-payroll compliances.
- Managing Audits of the offshore entities under different statutes (GST/Sales Tax, Companies House)
- Managing payroll and payroll compliances
- Managing Banking operations and payments and operational fund flow/cash flow.
- Desired Candidate Profile:
- Must have good communication skills to deal with foreign clients.
- Should have good knowledge of MS office and tally.
- Experience in Corporate Reporting, MIS, Power BI and Tableau etc.
4-6 years of total experience in data warehousing and business intelligence
3+ years of solid Power BI experience (Power Query, M-Query, DAX, Aggregates)
2 years’ experience building Power BI using cloud data (Snowflake, Azure Synapse, SQL DB, data lake)
Strong experience building visually appealing UI/UX in Power BI
Understand how to design Power BI solutions for performance (composite models, incremental refresh, analysis services)
Experience building Power BI using large data in direct query mode
Expert SQL background (query building, stored procedure, optimizing performance)
Requirements
Data AnalyticsMust have experience in BFSC domain.
Exp- Min 3yrs
Location- Pune
Mandatory Skills- Exp in powerBI/Tableau,
SQL
Basic Python
Data warehousing architect/ desinger
Data migration architect/ designer
- Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure Synapse/Azure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHub/IOTHub.
- Experience in migrating on-premise data warehouses to data platforms on AZURE cloud.
- Designing and implementing data engineering, ingestion, and transformation functions
- Experience with Azure Analysis Services
- Experience in Power BI
- Experience with third-party solutions like Attunity/Stream sets, Informatica
- Experience with PreSales activities (Responding to RFPs, Executing Quick POCs)
- Capacity Planning and Performance Tuning on Azure Stack and Spark.
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