Data Analyst

Title:- Data Scientist

Experience:-6 years

Work Mode:- Onsite

Primary Skills:- Data Science, SQL, Python, Data Modelling, Azure, AWS, Banking Domain (BFSI/NBFC)

Qualification:- Any

Roles & Responsibilities:-

1.  Acquiring, cleaning, and preprocessing raw data for analysis.

2.  Utilizing statistical methods and tools for analyzing and interpreting complex  datasets.

3.  Developing and implementing machine learning models for predictive analysis.

4.  Creating visualizations to effectively communicate insights to both technical and   non-technical stakeholders.

5.  Collaborating with cross-functional teams, including data engineers, business   analysts, and domain experts.

6.  Evaluating and optimizing the performance of machine learning models for   accuracy and efficiency.

7.  Identifying patterns and trends within data to inform business decision-making.

8.  Staying updated on the latest advancements in data science, machine learning, and  relevant technologies.

Requirement:- 

1.  Experience with modeling techniques such as Linear Regression, clustering, and classification techniques.

2.  Must have a passion for data, structured or unstructured.  0.6 – 5 years of hands-on experience with Python and SQL is a must.

3.   Should have sound experience in data mining, data analysis and machine learning techniques.

4.  Excellent critical thinking, verbal and written communications skills.

5.  Ability and desire to work in a proactive, highly engaging, high-pressure, client service environment.

6.   Good presentation skills.

Location: Bangalore / Pune (Remote)

Employment type:  Full time

Permanent website: www.amazech.com  

 Qualifications:   

               B.E./B.Tech/M.E./M.Tech in Computer Science, Information Technology, Electrical or Electronic with good academic background.   

Experience and Required Skill Sets:  

·        Minimum 5 years of hands on experience with Azure Data Lake, Azure Data Factory, SQL Data Warehouse,Azure Blob, Azure Storage Explorer 

·        Experience in Data warehouse/analytical systems using Azure Synapse. 

·        Proficient in creating Azure Data Factory pipelines for ETL processing; copy activity, custom Azure development etc. 

·        Knowledge of Azure Data Catalog, Event Grid, Service Bus, SQL, Purview and Synapse 

·        Good technical knowledge in Microsoft SQL Server BI Suite (ETL, Reporting, Analytics, Dashboards) using SSIS, SSAS, SSRS, Power BI 

·        Design and develop batch and real-time streaming of data loads to data warehouse systems 

  Other Requirements: 

·        A Bachelor's or Master's degree (Engineering or computer related degree preferred) 

·        Strong understanding of Software Development Life Cycles including Agile/Scrum  

  Responsibilities:   

·        Ability to create complex, enterprise-transforming applications that meet and exceed client expectations.   

·        Responsible for bottom line. Strong project management abilities. Ability to encourage team to stick to timelines.  

·        Should demonstrate strong client interfacing capabilities like emails and calls with clients in the US/UK

Company - Tekclan Software Solutions

Position – SQL Developer

Experience – Minimum 4+ years of experience in MS SQL server, SQL Programming, ETL development.

Location - Chennai

We are seeking a highly skilled SQL Developer with expertise in MS SQL Server, SSRS, SQL programming, writing stored procedures, and proficiency in ETL using SSIS. The ideal candidate will have a strong understanding of database concepts, query optimization, and data modeling.

Responsibilities:

1. Develop, optimize, and maintain SQL queries, stored procedures, and functions for efficient data retrieval and manipulation.

2. Design and implement ETL processes using SSIS for data extraction, transformation, and loading from various sources.

3. Collaborate with cross-functional teams to gather business requirements and translate them into technical specifications.

4. Create and maintain data models, ensuring data integrity, normalization, and performance.

5. Generate insightful reports and dashboards using SSRS to facilitate data-driven decision making.

6. Troubleshoot and resolve database performance issues, bottlenecks, and data inconsistencies.

7. Conduct thorough testing and debugging of SQL code to ensure accuracy and reliability.

8. Stay up-to-date with emerging trends and advancements in SQL technologies and provide recommendations for improvement.

9. Should be an independent and individual contributor.

Requirements:

1. Minimum of 4+ years of experience in MS SQL server, SQL Programming, ETL development.

2. Proven experience as a SQL Developer with a strong focus on MS SQL Server.

3. Proficiency in SQL programming, including writing complex queries, stored procedures, and functions.

4. In-depth knowledge of ETL processes and hands-on experience with SSIS.

5. Strong expertise in creating reports and dashboards using SSRS.

6. Familiarity with database design principles, query optimization, and data modeling.

7. Experience with performance tuning and troubleshooting SQL-related issues.

8. Excellent problem-solving skills and attention to detail.

9. Strong communication and collaboration abilities.

10. Ability to work independently and handle multiple tasks simultaneously.

Preferred Skills:

1. Certification in MS SQL Server or related technologies.

2. Knowledge of other database systems such as Oracle or MySQL.

3. Familiarity with data warehousing concepts and tools.

4. Experience with version control systems.

We are looking for a Senior Data Analyst who will support our product, sales, leadership, and marketing teams with data collection and organization of data in order to draw conclusions, make predictions, and drive informed decision making.

• The ideal candidate is adept at using large data sets to find opportunities for product and marketing optimization and using data models to test the effectiveness of different courses of action.
• Not just that, you also understand how to clean and organize data for complete analysis and calculations using spreadsheets, SQL Python, and R programming.
• Visualizing and presenting data findings in dashboards, presentations and commonly used visualization platforms must be your strength.

SKILLS YOU MUST HAVE:

• Data Cleansing, Data Analysis, Data Visualization (DataViz), SQL Questioning, Decision-Making, Problem Solving, Data Collection, Data Ethics, Sample Size Determination, Spreadsheet,

RESPONSIBILITIES:

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from company databases (GOOGLE ANALYTICS, User DB, and 3rd party Marketing Analytics tools) to drive optimization and improvement of product development, marketing techniques, and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Strong understanding of Google Analytics (GA) fundamentals and how to work with raw GA data
• Automate custom data fetching from Google Analytics dashboard to excel sheet and other primary and secondary sources
• Work with complex SQL queries
• Work with Big Query with GA integration to extract data
• Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
• Filter Data by reviewing reports and performance indicators to identify and correct code problems
• Developing and maintaining databases, data systems reorganizing data in a readable format
• Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets could be helpful for the diagnosis and prediction
• Assign a numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Understanding of statistical concepts like Statistical significance, t-test, and z-test for AB testing
• Performing analysis to assess quality and meaning of data
• Preparing reports for the management stating trends, patterns, and predictions using relevant data
• Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
• Robust understanding of Mix panel and Amplitude

Skill requirement:

• 6-8 years of experience in database management and a strong understanding of Google Analytics
• Strong mathematical skills to help collect, measure, organize, and analyze data
• Experience using statistical computer languages (R, Python, MATLAB, SQL, etc.) to manipulate data and draw insights from large data sets.
• Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
• Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
• Knowledge of data visualization software like Tableau
• Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions
• Accuracy and attention to detail
• Adept at queries, advanced excel management, writing reports, and making presentations
• Team-working skills
• Verbal and Written communication skills
• Proven working experience in data analysis

• Assisting developers to write efficient code.
• Tuning and debugging customer installations.
• Maintaining internal development and test databases.
• Working closely with leading experts in Supply Chain management to support various E2open teams.
• Provides on-call support in a 24x7 environment.

The position requires night shift work to support the US time zone.

Required Experience/Skills:

• Bachelor's/Master's/PhD degree in Engineering, Computer Science, Mathematics, or other Science with a consistent academic record (Preferably more than 70%)
• Oracle-certified DBA with 3+ years of DBA experience
• Oracle 12c and 19c experience is a must.
• Experience in Performance Tuning and Query Optimization is a must.
• Expertise and development experience in PL/SQL and SQL
• Experience in Oracle installation, upgrade backup, and recovery methods.
• Experience in Unix/Linux shell scripting.
• Track record of delivering quality work on time and ability to expand own expertise.
• Self-motivated, detail and team-oriented
• Solid verbal and written communication skills
• Enjoys dynamic, result-oriented work culture.
• Excellent problem-solving and troubleshooting skills.
• Experience considered a plus: 
• MySQL and PostgreSQL
• Knowledge of server, storage, and networking technology.
• Supply Chain background

• Amazon & Flipkart, managing FBA inventories on affiliate platforms and reviews across platforms, managing the brand store on Amazon, maintaining price parity across platforms, coordinating with the in-house logistics teams & ensuring the stock availability in Amazon & Flipkart warehouses to avoid sale loss due to stockouts.                                                                                           

Requirement                     

• Should have exposure of working on D2C (Direct to Consumer)/B2C (Business to Consumer) brands E-commerce websites                                                                   

Skills required    

• prior experience of setting up analytics function from end to end would be desirable, skilled in SQL & data visualization,6+ years of experience in analytics function is desirable,
• Excellent communication skills,
• Calm under pressure; you have a sense of urgency but channel it into productively working through any issues                                                

Hi All,

We are hiring Data Engineer for one of our client for Bangalore & Chennai Location.


Strong Knowledge of SCCM, App V, and Intune infrastructure.

Powershell/VBScript/Python,

Windows Installer

Knowledge of Windows 10 registry

Application Repackaging

Application Sequencing with App-v

Deploying and troubleshooting applications, packages, and Task Sequences.

Security patch deployment and remediation

Windows operating system patching and defender updates

Thanks,
Mohan.G

SpringML is looking to hire a top-notch Senior  Data Engineer who is passionate about working with data and using the latest distributed framework to process large dataset. As an Associate Data Engineer, your primary role will be to design and build data pipelines. You will be focused on helping client projects on data integration, data prep and implementing machine learning on datasets. In this role, you will work on some of the latest technologies, collaborate with partners on early win, consultative approach with clients, interact daily with executive leadership, and help build a great company. Chosen team members will be part of the core team and play a critical role in scaling up our emerging practice.

RESPONSIBILITIES:

• Ability to work as a member of a team assigned to design and implement data integration solutions.
• Build Data pipelines using standard frameworks in Hadoop, Apache Beam and other open-source solutions.
• Learn quickly – ability to understand and rapidly comprehend new areas – functional and technical – and apply detailed and critical thinking to customer solutions.
• Propose design solutions and recommend best practices for large scale data analysis

SKILLS:

• B.tech  degree in computer science, mathematics or other relevant fields.
• 4+years of experience in ETL, Data Warehouse, Visualization and building data pipelines.
• Strong Programming skills – experience and expertise in one of the following: Java, Python, Scala, C.
• Proficient in big data/distributed computing frameworks such as Apache,Spark, Kafka,
• Experience with Agile implementation methodologies

CANDIDATE WILL BE DEPLOYED IN A FINANCIAL CAPTIVE ORGANIZATION @ PUNE (KHARADI)

Below are the job Details :-

Experience 10 to 18 years

Mandatory skills –

• data migration,
• data flow

The ideal candidate for this role will have the below experience and qualifications:  

• Experience of building a range of Services in a Cloud Service provider (ideally GCP)  
• Hands-on design and development of Google Cloud Platform (GCP), across a wide range of GCP services including hands on experience of GCP storage & database technologies. 
• Hands-on experience in architecting, designing or implementing solutions on GCP, K8s, and other Google technologies. Security and Compliance, e.g. IAM and cloud compliance/auditing/monitoring tools 
• Desired Skills within the GCP stack - Cloud Run, GKE, Serverless, Cloud Functions, Vision API, DLP, Data Flow, Data Fusion 
• Prior experience of migrating on-prem applications to cloud environments. Knowledge and hands on experience on Stackdriver, pub-sub, VPC, Subnets, route tables, Load balancers, firewalls both for on premise and the GCP.  
• Integrate, configure, deploy and manage centrally provided common cloud services (e.g. IAM, networking, logging, Operating systems, Containers.)  
• Manage SDN in GCP Knowledge and experience of DevOps technologies around Continuous Integration & Delivery in GCP using Jenkins.  
• Hands on experience of Terraform, Kubernetes, Docker, Stackdriver, Terraform  
• Programming experience in one or more of the following languages: Python, Ruby, Java, JavaScript, Go, Groovy, Scala  
• Knowledge or experience in DevOps tooling such as Jenkins, Git, Ansible, Splunk, Jira or Confluence, AppD, Docker, Kubernetes  
• Act as a consultant and subject matter expert for internal teams to resolve technical deployment obstacles, improve product's vision. Ensure compliance with centrally defined Security 
• Financial experience is preferred 
• Ability to learn new technologies and rapidly prototype newer concepts 
• Top-down thinker, excellent communicator, and great problem solver

Exp:- 10  to 18 years

Location:- Pune

Candidate must have experience in below.

• GCP Data Platform
• Data Processing:- Data Flow, Data Prep, Data Fusion
• Data Storage:- Big Query, Cloud Sql,
• Pub Sub, GCS Bucket