PythonData Analytics Lead
Responsibilities:
· Oversee the design, development, and implementation of data analysis solutions to meet business needs.
· Work closely with business stakeholders and the Aviation SME to define data requirements, project scope, and deliverables.
· Drive the design and development of analytics data models and data warehouse designs.
· Develop and maintain data quality standards and procedures.
· Manage and prioritize data analysis projects, ensuring timely completion.
· Identify opportunities to improve data analysis processes and tools.
· Collaborate with Data Engineers and Data Architects to ensure data solutions align with the overall data platform architecture.
· Evaluate and recommend new data analysis tools and technologies.
· Contribute to the development of best practices for data analysis.
· Participate in project meetings and provide input on data-related issues, risks and requirements.
Qualifications
· 8+ years of experience as a Data Analytics Lead, with experience leading or mentoring a team.
· Extensive experience with cloud-based data modelling and data warehousing solutions, using Azure Data Bricks.
· Proven experience in data technologies and platforms, ETL processes and tools, preferably using Azure Data Factory, Azure Databricks (Spark), Delta Lake.
· Advanced proficiency in data visualization tools such as Power BI.
Data Analysis and Visualization:
- Experience in data analysis, statistical modelling, and machine learning techniques.
- Proficiency in analytical tools like Python, R, and libraries such as Pandas, NumPy for data analysis and modelling.
- Strong expertise in Power BI, Superset, Tablue for data visualization, data modelling, and DAX queries, with knowledge of best practices.
- Experience in implementing Row-Level Security in Power BI.
- Ability to work with medium-complex data models and quickly understand application data design and processes.
- Familiar with industry best practices for Power BI and experienced in performance optimization of existing implementations.
- Understanding of machine learning algorithms, including supervised, unsupervised, and deep learning techniques.
Data Handling and Processing:
- Proficient in SQL Server and query optimization.
- Expertise in application data design and process management.
- Extensive knowledge of data modelling.
- Hands-on experience with Azure Data Factory,Azure Databricks.
- Expertise in data warehouse development, including experience with SSIS (SQL Server Integration Services) and SSAS (SQL Server Analysis Services).
- Proficiency in ETL processes (data extraction, transformation, and loading), including data cleaning and normalization.
- Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) for large-scale data processing.
Understanding of data governance, compliance, and security measures within Azure environments.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Regards
sunitha,
HR Executive
Greeting...!!!
Are you looking for an Immediate job offer?
Job Title: SAP Consultant / Sr. Consultant - Basis
Location: Baner, Pune (WFO)
Experience: 6+ years
Must Have: Implementation and Support project exp
***Only Immediate or serving notice will consider**
Key Responsibilities:
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Regards,
Dimple Pal | Talent Acquisition - Executive
Linkedin - www.linkedin.com/in/dimple-pal-218b94147
Where: Hyderabad/ Bengaluru, India (Hybrid Mode 3 Days/Week in Office)
Job Description:
- Collaborate with stakeholders to develop a data strategy that meets enterprise needs and industry requirements.
- Create an inventory of the data necessary to build and implement a data architecture.
- Envision data pipelines and how data will flow through the data landscape.
- Evaluate current data management technologies and what additional tools are needed.
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- Build data models for database structures, analytics, and use cases.
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- Research new opportunities and create methods to acquire data.
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- Hands-on expertise in systems like Snowflake, Synapse, SQL DW, BigQuery, and Cosmos DB. (Expertise in any 3 is a must)
- Azure Data Factory, Dataiku, Fivetran, Google Cloud Dataflow (Any 2)
- Hands-on experience in working with services/technologies like - Apache Airflow, Cloud Composer, Oozie, Azure Data Factory, and Cloud Data Fusion (Expertise in any 2 is required)
- Well-versed with Data services, integration, ingestion, ELT/ETL, Data Governance, Security, and Meta-driven Development.
- Expertise in RDBMS (relational database management system) – writing complex SQL logic, DB/Query optimization, Data Modelling, and managing high data volume for mission-critical applications.
- Strong grip on programming using Python and PySpark.
- Clear understanding of data best practices prevailing in the industry.
- Preference to candidates having Azure or GCP architect certification. (Either of the two would suffice)
- Strong networking and data security experience.
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- Experience on open-source tools like Kafka, Spark, Splunk, Superset, etc.
- Good understanding of Analytics Platform Landscape that includes AI/ML
- Experience in any Data Visualization tool like PowerBI / Tableau / Qlik /QuickSight etc.
About Us
Gramener is a design-led data science company. We build custom Data & AI solutions that help solve complex business problems with actionable insights and compelling data stories. We partner with enterprise data and digital transformation teams to improve the data-driven decision-making culture across the organization. Our open standard low-code platform, Gramex, rapidly builds engaging Data & AI solutions across multiple business verticals and use cases. Our solutions and technology have been recognized by analysts such as Gartner and Forrester and have won several awards.
We Offer You:
- a chance to try new things & take risks.
- meaningful problems you'll be proud to solve.
- people you will be comfortable working with.
- transparent and innovative work environment.
To know more about us visit Gramener Website and Gramener Blog.
If anyone looking for the same, kindly share below mentioned details.
Total Experience:
Relevant Experience:
Notice Period:
CTCT:
ECTC:
Current Location:
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- Understand the needs of the hiring organization or client in order to target research to their benefit
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Instill and follow good product development practices and ensure timely delivery of high-quality products by the
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Real time monitoring of PERT and costs for multiple projects
Deliver OPEX level efficiencies via superior asset management and daily tracking of fixed and variable costs,
forecast margins, profitability and cash flows while highlighting trends, outliers and opportunities.
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Create a superior differentiated experience on the mobile - delivering convenience and seamless digital experience.
Work collaboratively with partners and effectively manage the outsourced Technology team.
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At Aurigin we are building the world's largest deal origination platform to match middle-market corporates seeking capital with the most relevant providers of capital anywhere in the world. We believe our team and technology can transcend the geographical borders and connect fund seekers anywhere in the world with investors looking to lend and invest in the market. We have done over 125K introductions and over $600Bn of transaction value introduction on our platform.
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- Experience with Java or JVM based frameworks
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- Knowledge of vanilla JavaScript is a big plus.
- Past experience working in a start-up and/or fintech industry.
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Full Stack Developer - Averlon