Graphic Designer

Designing, building, and automating ETL processes using AWS services like Apache Sqoop, AWS S3, AWS CLI, Amazon 

EMR, Amazon MSK, Amazon Sagemaker. 

∙Developing and maintaining data pipelines to move and transform data from diverse sources into data warehouses or 

data lakes. 

∙Ensuring data quality and integrity through validation, cleansing, and monitoring ETL processes. 

∙Optimizing ETL workflows for performance, scalability, and cost efficiency within the AWS environment. 

∙Troubleshooting and resolving issues related to data processing and ETL workflows. 

∙Implementing and maintaining security measures and compliance standards for data pipelines and infrastructure. 

∙Documenting ETL processes, data mappings, and system architecture. 

Strong B2B Inside Sales / Product Sales profiles

Mandatory (Experience 1): Must have 6+ years of experience in Inside Sales for B2B (Services / SaaS) Sales roles

Mandatory (Experience 2): Proven experience in B2B product sales, with hands-on involvement in lead generation, qualification, client follow-ups, and opportunity management

Mandatory (Experience 3): Strong exposure to campaign management, active follow-ups, and inside sales motions (email, calls, CRM-driven sales)

Mandatory (Sales Execution): Demonstrated ability to identify prospective clients, manage sales pipelines, and support closure of deals

Mandatory (Core Skills): Solid understanding of sales process, sales matrix, sales techniques, and client engagement model

Mandatory (Tools): Hands-on experience using Salesforce or any CRM tool, along with online resource management and data mining.

Mandatory (Education): Bachelor’s degree in BA / B.Com / BBM / BBA

Mandatory (Company): B2B SaaS

Job Summary:

We are looking for a motivated and detail-oriented Data Engineer with 1–2 years of experience to join our data engineering team. The ideal candidate should have solid foundational skills in SQL and Python, along with exposure to building or maintaining data pipelines. You’ll play a key role in helping to ingest, process, and transform data to support various business and analytical needs.

Key Responsibilities:

• Assist in the design, development, and maintenance of scalable and efficient data pipelines.
• Write clean, maintainable, and performance-optimized SQL queries.
• Develop data transformation scripts and automation using Python.
• Support data ingestion processes from various internal and external sources.
• Monitor data pipeline performance and help troubleshoot issues.
• Collaborate with data analysts, data scientists, and other engineers to ensure data quality and consistency.
• Work with cloud-based data solutions and tools (e.g., AWS, Azure, GCP – as applicable).
• Document technical processes and pipeline architecture.

Core Skills Required:

• Proficiency in SQL (data querying, joins, aggregations, performance tuning).
• Experience with Python, especially in the context of data manipulation (e.g., pandas, NumPy).
• Exposure to ETL/ELT pipelines and data workflow orchestration tools (e.g., Airflow, Prefect, Luigi – preferred).
• Understanding of relational databases and data warehouse concepts.
• Familiarity with version control systems like Git.

Preferred Qualifications:

• Experience with cloud data services (AWS S3, Redshift, Azure Data Lake, etc.)
• Familiarity with data modeling and data integration concepts.
• Basic knowledge of CI/CD practices for data pipelines.
• Bachelor’s degree in Computer Science, Engineering, or related field.

• Crafting the performance marketing strategy for the company and managing the overall online marketing calendar around the same
• Managing all online properties of the brand
• Measuring ROI and a set of other KPIs, based on in-depth analysis of standard digital metrics
• Liaising with multiple agencies, as well as internal offline and traditional marketing teams to devise and execute innovative marketing campaigns throughout the year
  
  

• 5+ years experience in Digital Marketing with experience in Digital Advertising, Website Management, Lead Generation, and/or Lifecycle Marketing
• Experience with problem-solving and analytical skills including conducting qualitative and quantitative research, analyzing data, data visualization, developing hypotheses, synthesizing insights & recommendations
• Experience with digital and web analytics and data tracking tools (e. g., Google Analytics, ) and SQL
• Website management and technology experience including CMS, HTML, CSS, and Javascript
• Experience leading and managing SEO/SEM, marketing database, email, social media, and/or display advertising campaigns
• Experience using various Facebook Interfaces: Ads Manager, Power Editor, Business Manager, Page Insights
• Experience with ad serving tools and DSPs (e. g., DoubleClick, Adobe Advertising Cloud)
• Experience working both strategically as well as in an executional capacity to build and deploy the campaign
• Experience presenting ideas to several stakeholders at once
• Experience collaborating and coordinating with internal and external cross-functional teams
• Experience with digital marketing and digital measurement latest trends and best practices

Technical Knowledge (Must Have)

• Strong experience in SQL / HiveQL/ AWS Athena,
• Strong expertise in the development of data pipelines (snaplogic is preferred).
• Design, Development, Deployment and administration of data processing applications.
• Good Exposure towards AWS and Azure Cloud computing environments.
• Knowledge around BigData, AWS Cloud Architecture, Best practices, Securities, Governance, Metadata Management, Data Quality etc.
• Data extraction through various firm sources (RDBMS, Unstructured Data Sources) and load to datalake with all best practices.
• Knowledge in Python
• Good knowledge in NoSQL technologies (Neo4J/ MongoDB)
• Experience/knowledge in SnapLogic (ETL Technologies)
• Working knowledge on Unix (AIX, Linux), shell scripting
• Experience/knowledge in Data Modeling. Database Development
• Experience/knowledge creation of reports and dashboards in Tableau/ PowerBI