Graphic Designer

• Data Pipeline Development: Design and implement scalable data pipelines using PySpark and Databricks on AWS cloud infrastructure

• ETL/ELT Operations: Extract, transform, and load data from various sources using Python, SQL, and PySpark for batch and streaming data processing

• Databricks Platform Management: Develop and maintain data workflows, notebooks, and clusters in Databricks environment for efficient data processing

• AWS Cloud Services: Utilize AWS services including S3, Glue, EMR, Redshift, Kinesis, and Lambda for comprehensive data solutions

• Data Transformation: Write efficient PySpark scripts and SQL queries to process large-scale datasets and implement complex business logic

• Data Quality & Monitoring: Implement data validation, quality checks, and monitoring solutions to ensure data integrity across pipelines

• Collaboration: Work closely with data scientists, analysts, and other engineering teams to support analytics and machine learning initiatives

• Performance Optimization: Monitor and optimize data pipeline performance, query efficiency, and resource utilization in Databricks and AWS environments

Required Qualifications:

• Experience: 3+ years of hands-on experience in data engineering, ETL development, or related field

• PySpark Expertise: Strong proficiency in PySpark for large-scale data processing and transformations

• Python Programming: Solid Python programming skills with experience in data manipulation libraries (pandas etc)

• SQL Proficiency: Advanced SQL skills including complex queries, window functions, and performance optimization

• Databricks Experience: Hands-on experience with Databricks platform, including notebook development, cluster management, and job scheduling

• AWS Cloud Services: Working knowledge of core AWS services (S3, Glue, EMR, Redshift, IAM, Lambda)

• Data Modeling: Understanding of dimensional modeling, data warehousing concepts, and ETL best practices

• Version Control: Experience with Git and collaborative development workflows

Preferred Qualifications:

• Education: Bachelor's degree in Computer Science, Engineering, Mathematics, or related technical field

• Advanced AWS: Experience with additional AWS services like Athena, QuickSight, Step Functions, and CloudWatch

• Data Formats: Experience working with various data formats (JSON, Parquet, Avro, Delta Lake)

• Containerization: Basic knowledge of Docker and container orchestration

• Agile Methodology: Experience working in Agile/Scrum development environments

• Business Intelligence Tools: Exposure to BI tools like Tableau, Power BI, or Databricks SQL Analytics

Technical Skills Summary:

Core Technologies:

• PySpark & Spark SQL
• Python (pandas, boto3)
• SQL (PostgreSQL, MySQL, Redshift)
• Databricks (notebooks, clusters, jobs, Delta Lake)

AWS Services:

• S3, Glue, EMR, Redshift
• Lambda, Athena
• IAM, CloudWatch

Development Tools:

• Git/GitHub
• CI/CD pipelines, Docker
• Linux/Unix command line

Job description

We are seeking a proactive and enthusiastic Human Resource Intern to support our HR team. This internship offers a great opportunity to gain hands-on experience in end-to-end recruitment, employee engagement, and HR operations. The role involves collaborating with the hiring manager, managing recruitment processes, maintaining employee records, and assisting with company events.

Key Responsibilities:

Recruitment Support: Work closely with the hiring manager to manage the end-to-end recruitment process, including posting job advertisements and screening resumes.

Candidate Communication: Interact with candidates via calls, texts, and emails to ensure a smooth communication process and schedule interviews with shortlisted candidates.

Follow-Ups: Take regular follow-ups with candidates to avoid communication gaps.

Database Management: Assist in maintaining and updating the employee database and compiling employee files as required.

Event Planning: Support the HR team in organizing and planning company events and activities.

HR Operations: Assist in various HR functions as needed, ensuring tasks are completed efficiently.

Required Skills and Qualifications:

Bachelor’s or Master’s degree in Human Resource Management or currently pursuing a degree in HRM or a related field.

Excellent communication skills in English (mandatory).

Basic understanding of HRM concepts and recruitment processes.

Proactive, organized, and able to manage daily tasks effectively.

Comfortable making daily calls and engaging with candidates.

Cashier

• Required: High School Diploma/BBA/B.Com or related

• Experience: 2-3 years

Location: Gandhinagar, Kudasan

Minimum of 8 years of experience of which, 4 years should be of applied data mining

experience in disciplines such as Call Centre Metrics.

 Strong experience in advanced statistics and analytics including segmentation, modelling, regression, forecasting etc.

 Experience with leading and managing large teams.

 Demonstrated pattern of success in using advanced quantitative analytic methods to solve business problems.

 Demonstrated experience with Business Intelligence/Data Mining tools to work with

data, investigate anomalies, construct data sets, and build models.

 Critical to share details on projects undertaken (preferably on telecom industry)

specifically through analysis from CRM.