Epik Solutions

*Job Title:** Data Analyst

**Location:** Permanent Work from Home

**Job Type:** Full-Time

**Job Description:**

We are seeking a highly motivated and skilled Data Analyst to join our team. The ideal candidate will have a strong background in data analysis, incident management, and real-time data reporting. The role demands exceptional communication skills, both written and spoken, as well as the ability to work flexible shifts to support our global operations.

**Key Responsibilities:**

- Perform data analysis to identify trends, anomalies, and insights.

- Manage and resolve incidents effectively using tools like Jira and Slack.

- Conduct real-time data analysis and reporting to support business decisions.

- Generate comprehensive reports and dashboards to visualize data findings.

- Collaborate with cross-functional teams to ensure data integrity and accuracy.

- Communicate findings and recommendations clearly and concisely to stakeholders.

- Flexibility to work in different time zones as required.

**Required Qualifications:**

- Bachelor’s degree in Computer Science or a related field.

- Proven experience in data analysis and incident management.

- Proficiency in using Jira and Slack for communication and incident tracking.

- Strong skills in real-time data analysis and reporting.

- Exceptional communication skills in English, both written and spoken.

- Ability to work flexible shifts to accommodate global operations.

**Preferred Qualifications:**

- Experience with Python and automation tools is a plus.

**Work Environment Requirements:**

- Must have a reliable laptop/computer and home-based infrastructure, including high-speed WiFi and power backup.

- Ability to work effectively in a remote environment with minimal supervision.

**Benefits:**

- Permanent work-from-home opportunity.

- Flexible working hours.

- Opportunity to work with a dynamic and diverse team.

If you meet the above qualifications and are eager to contribute to a fast-paced and innovative team, we encourage you to apply.

Job Title         : Sharepoint Architect

Location         : Greater Noida

Duration      6 Months C2H

Note: For Noida five-day WFO

Company Overview: Epik Solutions (https://www.epikso.com/)

Epik Solutions is a global technology company that embraces creativity and diversity, using technology to inspire and implement solutions that meet our customers’ needs.

Capabilities include:

Digital Transformation: We help clients reimagine and capture possibilities while strengthening the performance of their existing digital assets. Our Team brings ideas to life and builds organizations’ capabilities to deliver their best outcomes on an on-going basis.

Workforce Transformation: We partner with companies that are seeking to hone their business strategies and amplify performance. Epik Solutions helps optimize workforce accessibility and capacity to produce real business results

Client Name: Coforge

Description -

·        All 5 days WFO, UK Shift

·        Good end to end SDLC project delivery experience.

·        Strong development experience using Microsoft 365 SharePoint (preferred but not limited) Online/On premises and Power platforms.

·        Able to create features, process documents, use cases, use stories, technical specifications, and mapping documents required on the project.

·        Strong experience in design and development of SharePoint Framework (SPFx) web parts, libraries, and extensions.

·        Able to create features, process documents, use cases, use stories, technical specifications, and mapping documents required on the project.

·        SharePoint migration and customization experience using jQuery.

·        Good knowledge on Power Apps, Power Automate, Canvas, Model driven and Dataverse.

·        Good knowledge of Microsoft and other 3rd party products (e.g., Azure, Jira, Outlook etc.) integration.

Job Description:

As an Azure Data Engineer, your role will involve designing, developing, and maintaining data solutions on the Azure platform. You will be responsible for building and optimizing data pipelines, ensuring data quality and reliability, and implementing data processing and transformation logic. Your expertise in Azure Databricks, Python, SQL, Azure Data Factory (ADF), PySpark, and Scala will be essential for performing the following key responsibilities:

Designing and developing data pipelines: You will design and implement scalable and efficient data pipelines using Azure Databricks, PySpark, and Scala. This includes data ingestion, data transformation, and data loading processes.

Data modeling and database design: You will design and implement data models to support efficient data storage, retrieval, and analysis. This may involve working with relational databases, data lakes, or other storage solutions on the Azure platform.

Data integration and orchestration: You will leverage Azure Data Factory (ADF) to orchestrate data integration workflows and manage data movement across various data sources and targets. This includes scheduling and monitoring data pipelines.

Data quality and governance: You will implement data quality checks, validation rules, and data governance processes to ensure data accuracy, consistency, and compliance with relevant regulations and standards.

Performance optimization: You will optimize data pipelines and queries to improve overall system performance and reduce processing time. This may involve tuning SQL queries, optimizing data transformation logic, and leveraging caching techniques.

Monitoring and troubleshooting: You will monitor data pipelines, identify performance bottlenecks, and troubleshoot issues related to data ingestion, processing, and transformation. You will work closely with cross-functional teams to resolve data-related problems.

Documentation and collaboration: You will document data pipelines, data flows, and data transformation processes. You will collaborate with data scientists, analysts, and other stakeholders to understand their data requirements and provide data engineering support.

Skills and Qualifications:

Strong experience with Azure Databricks, Python, SQL, ADF, PySpark, and Scala.

Proficiency in designing and developing data pipelines and ETL processes.

Solid understanding of data modeling concepts and database design principles.

Familiarity with data integration and orchestration using Azure Data Factory.

Knowledge of data quality management and data governance practices.

Experience with performance tuning and optimization of data pipelines.

Strong problem-solving and troubleshooting skills related to data engineering.

Excellent collaboration and communication skills to work effectively in cross-functional teams.

Understanding of cloud computing principles and experience with Azure services.