2 Data engineering Jobs in Ahmedabad | Data engineering Job openings in Ahmedabad

Job Description

Position Title: Assistant Digital Marketing Manager

Role Type: Full-time | Individual Contributor

Department: Marketing

Location

Ahmedabad, Gujarat|On-site

Job Overview

We are looking for a highly driven, analytical, and hands-on Assistant Digital Marketing Manager to lead and execute our multi-channel digital growth strategies. Operating as a core individual contributor, you will take full end-to-end ownership of lead generation, marketing campaigns, search engine & generative engine optimization (SEO/GEO), social media management and outreach initiatives.

If you are a self-starter who thrives in a data-driven environment and excels at driving marketing-qualified leads (MQLs) through impactful digital execution, this role is for you.

Key Responsibilities

1. Lead Generation & MQL Pipeline

• Plan, execute, and optimize end-to-end multi-channel marketing campaigns focused on driving high-quality Marketing Qualified Leads (MQLs).
• Build and maintain lead conversion funnels, working continuously to improve lead quality, cost-per-acquisition (CPA), and pipeline conversion rates.
• Collaborate closely with sales/business development teams to align lead criteria, qualify MQLs, and refine lead-nurturing workflows.

2. Campaigns & Performance Marketing

• Directly design, set up, manage, and scale acquisition campaigns across channels (e.g., Google Ads, LinkedIn Ads, Meta Ads, etc.).
• Actively monitor daily campaign performance, budget utilization, and bid strategies to maximize return on ad spend (ROAS).
• Perform continuous A/B testing on ad copies, creatives, audiences, and landing page messaging to optimize click-through and conversion rates.

3. SEO & Generative Engine Optimization (GEO)

• Manage on-page, off-page, and technical SEO strategies to drive sustainable organic traffic growth.
• Implement cutting-edge GEO (Generative Engine Optimization) tactics to ensure brand visibility within AI-driven search environments (e.g., ChatGPT, Perplexity, Google Search Generative Experience/AI Overviews).
• Perform key phrase research, content optimization, and link-building strategies.

4. Social Media Marketing & Outreach

• Own and manage organic social media channels, developing engaging visual and written content that reinforces brand authority.
• Execute targeted outbound outreach strategies (e.g., cold outreach campaigns, partnership co-marketing, and influencer/industry network connections) to broaden brand reach.
• Track engagement, reach, and conversion metrics across all social profiles.

5. Data-Driven Analytics & Reporting

• Utilize marketing analytics platforms (e.g., Google Analytics 4, CRM platforms, platform-native ads managers) to track and analyze campaign performance in real time.
• Build actionable weekly and monthly performance dashboards highlighting key metrics (MQL volume, CPA, CTR, ROAS, pipeline impact).
• Leverage data and performance insights to continually iterate and pivot strategies for maximum impact.

Key Requirements & Qualifications

• Experience: 3–5 years of hands-on experience in performance marketing, digital lead generation, and digital channel management.
• Hands-on Execution: Proven track record as a self-sufficient individual contributor capable of executing campaigns from scratch without agency reliance.
• Core Skills:
• Demonstrated capability in driving MQLs through paid and organic channels.
• Hands-on experience managing PPC/Paid Social campaign setups and budgeting.
• Solid understanding of traditional SEO combined with awareness/experience in GEO strategies.
• End-to-end webinar management and digital outreach experience.
• Advanced proficiency with Google Analytics (GA4), marketing automation/CRM systems (e.g., HubSpot, Salesforce), and ad platforms.
• Mindset: Highly analytical, data-oriented, curious, and comfortable working independently in a fast-paced environment.

Job Title: Data Engineer

About the Role

We are looking for a highly motivated Data Engineer to join our growing team and play

a critical role in shaping the data foundation of different software platforms. This role sits

at the intersection of data engineering, product, and business stakeholders, and is

responsible for building reliable data pipelines, delivering actionable insights, and

ensuring data quality across systems.

You will work closely with internal teams and external partners to translate business

requirements into scalable data solutions, while maintaining high standards for data

integrity, performance, and usability.

Key Responsibilities

Data Engineering & Architecture

 Design, build, and maintain scalable data pipelines and ETL/ELT processes

 Develop and optimize data models in PostgreSQL and cloud-native

architectures

 Work within AWS ecosystem (e.g., S3, Lambda, RDS, Glue, Redshift, etc.) to

support data workflows

 Ensure efficient ingestion and processing of large-scale datasets

Business & Partner Integration

 Collaborate directly with business stakeholders and external partners to

gather requirements and deliver reporting solutions

 Translate ambiguous business needs into structured data models and

dashboards

 Integrate with third-party APIs and other external data sources

Data Quality & Governance

 Implement robust data validation, monitoring, and QA processes

 Ensure consistency, accuracy, and reliability of data across the platform

 Troubleshoot and resolve data discrepancies proactively

Reporting & Analytics Enablement

 Build datasets and pipelines that power dashboards and reporting tools

 Support internal teams with ad hoc analysis and data requests

 Partner with product and engineering teams to embed data into the SaaS product experience

Performance & Scalability

 Optimize queries, pipelines, and storage for performance and cost efficiency

 Continuously improve system scalability as data volume and complexity grow

Required Qualifications

 3–6+ years of experience in Data Engineering or related role

 Strong proficiency in Python for data processing and scripting

 Advanced experience with PostgreSQL (query optimization, schema design)

 Hands-on experience with AWS data architecture (S3, RDS, Lambda, Glue,

Redshift, etc.)

 Experience integrating with external APIs

 Solid understanding of ETL/ELT pipelines, data modeling, and warehousing

concepts

 Experience working cross-functionally with business stakeholders

Preferred Qualifications

 Experience in AdTech, eCommerce, or SaaS platforms

 Familiarity with BI tools (e.g., Looker, Tableau, Power BI)

 Experience with workflow orchestration tools (e.g., Airflow)

 Understanding of data governance and compliance best practices

 Exposure to real-time or streaming data pipelines

What We’re Looking For

 Strong problem-solver who can operate in a fast-paced, ambiguous

environment

 Ability to balance technical depth with business context

 Excellent communication skills — able to work directly with non-technical

stakeholders

 Ownership mindset with a focus on execution and quality