7 Meta-data management Jobs in Bangalore (Bengaluru) | Meta-data management Job openings in Bangalore (Bengaluru)

Performance Marketing Executive (Multi-Client & High Spend)

Role: Performance Marketing Executive

Location: Bengaluru, Karnataka (100% Onsite) Employment Type: Full-Time, Permanent

Hiring Urgency: Immediate Joiners / Max 15-30 Days Notice Preferred

About the Role

We are seeking an execution-driven, highly analytical Performance Marketing Executive to join our growth team onsite in Bengaluru.

In this role, you will lead end-to-end performance marketing for multiple accounts simultaneously across B2B, B2C, and D2C verticals. You are someone who has hands-on experience deploying significant monthly ad budgets, building full-funnel architectures, troubleshooting attribution drops, and relentlessly driving down Customer Acquisition Cost (CAC) while scaling Return on Ad Spend (ROAS).

Key Responsibilities

Paid Media Strategy & Execution

• Meta Ads: Architect, launch, and optimize high-converting campaigns across Facebook and Instagram (Advantage+ setups, ASC, broad targeting frameworks, retargeting funnels, and dynamic product catalogs).
• Google Ads: Build and scale complex Search, Performance Max (PMax), Shopping, Display, and Discovery campaigns. Conduct aggressive bid management, keyword pruning, and negative list curation.
• YouTube Ads: Develop video-first acquisition strategies, defining audience segmentations (custom intent, in-market, placements) to drive lower-funnel conversions alongside top-funnel reach.
• LinkedIn Ads: Manage B2B lead generation pipelines using conversation ads, sponsored content, and matched audiences, focusing on strict CPL (Cost-per-Lead) and SQL efficiency.
• Budget & Spend Control: Manage substantial ad budgets across diverse clients without overspend, pacing budgets daily and reallocating capital dynamically to top-performing channels.

Conversion Rate Optimization (CRO) & Funnels

• Analyze post-click user journeys to systematically eliminate drop-offs and optimize on-page conversion rates.
• Collaborate closely with designers and developers to build, test, and deploy high-converting landing pages (via Webflow, WordPress, Shopify, or landing page builders).
• Formulate hypotheses, execute rigorous A/B and multivariate tests on headlines, hooks, page speed, CTAs, and checkout flows.

Analytics, Attribution & SEO Synergy

• Monitor performance metrics using Google Analytics 4 (GA4), Google Tag Manager (GTM), and native ad managers. Ensure accurate event tracking, UTM taxonomy, and Server-Side / Conversion API (CAPI) integrity.
• Provide continuous feedback loops between paid search and organic search, leveraging search-query data to inform foundational on-page SEO recommendations.
• Generate weekly and monthly performance dashboards highlighting CAC, ROAS, MER (Marketing Efficiency Ratio), and lifetime value trends across all managed portfolios.

Client & Cross-Functional Management

• Parallelly manage multiple client deliverables, aligning channel strategies with distinct business goals (e-commerce sales volume, high-ticket B2B pipeline, or consumer lead generation).
• Coordinate directly with creative teams to produce high-velocity ad creative iterations (static, motion graphics, UGC, and copy) based on real-time fatigue and engagement metrics.

Required Qualifications & Skills

• Experience: 3 to 5 years of hands-on performance marketing experience, ideally within a fast-paced agency or a high-growth multi-brand ecosystem.
• Portfolio Diversity: Demonstrated track record managing paid campaigns concurrently across B2B, B2C, and D2C business models.
• Scale & Spend: Proven experience managing mid-to-large ad budgets (minimum ₹10L+ to ₹50L+ per month across accounts) with quantifiable revenue or lead generation impact.
• Platform Mastery: Advanced technical command of Meta Ads Manager, Google Ads (Search/PMax/Display), YouTube Ads, and LinkedIn Campaign Manager.
• Technical Stack: Deep proficiency in GA4, Google Tag Manager, Looker Studio, and post-iOS attribution modeling.
• CRO & Landing Pages: Practical understanding of funnel building, landing page heuristics, and CRO tooling (e.g., Hotjar, Microsoft Clarity, VWO, or Optimizely).
• Search Integration: Solid grasp of on-page SEO fundamentals, intent mapping, and keyword integration.
• Availability: Must be able to work out of our Bengaluru office full-time and available to join immediately or on very short notice.

Key Performance Indicators (KPIs)

• Blended ROAS / POAS (Profit on Ad Spend) for D2C/B2C accounts.
• Qualified Lead Volume, CPL, and Pipeline Velocity for B2B accounts.
• Landing page conversion rate lift across active testing cycles.
• Budget utilization accuracy and pacing stability.
• Creative turnover velocity and reduction in creative fatigue rates.

· Strategy & Architecture: Collaborate with stakeholders to define end-to-end migration strategies, including data mapping, transformation, and validation rules.

· Technical Execution: Utilize tools like SQL DB, CSV2TCXML, IPS Upload, and ETL tools to migrate CAD and metadata.

· Customization: Develop custom migration solutions using BMIDE (Business Modeler IDE), ITK (Integration Toolkit), and SOA (Service Oriented Architecture).

· Project Leadership: Break down projects into manageable work packages, leading both onsite and offshore teams.

· Validation & Quality: Perform validation checks to ensure data integrity and accuracy post-migration.

· Integration Support: Manage CAD integrations (NX, Inventor, Creo) and PLM integrations (T4S, T4O, T4EA).

Job descriptions 

Company : https://digitalcorsel.com/

Location :  1st Floor, BTM 1st Stage,, 9th B, C Ma, Outer Ring Rd, KEB Colony, 1st Stage, BTM 1st Stage, Bengaluru, Karnataka 560029

Job Title: Performance Marketing Specialist (Google Ads, Meta Ads, Data Analytics, SEO)

Job Overview:

We are seeking a highly skilled and data-driven Performance Marketing Specialist with expertise in Google Ads, Meta Ads, and data analytics. This role will drive online marketing strategies to increase our brand’s reach, engagement, and conversion rates. The ideal candidate will have a strong analytical mindset, be proficient in optimizing ads for high ROI, and possess a deep understanding of SEO best practices to improve our organic visibility.

Responsibilities:

Paid Advertising Management:

Plan, execute, and optimize high-performing Google Ads and Meta Ads campaigns to drive targeted traffic and achieve business objectives.

Conduct ongoing keyword research, competitor analysis, and audience segmentation to maximize ad relevance and reduce cost per acquisition (CPA).

Perform A/B testing and experiment with ad creatives, formats, and bidding strategies to improve campaign performance.

SEO Optimization:

Collaborate with the content team to align SEO strategies with content marketing initiatives and ensure adherence to best practices.

Data Analytics and Reporting:

3+ Years of exp

Utilize Google Analytics, Google Tag Manager, and other analytics tools to track, measure, and analyze the performance of digital campaigns.

Prepare detailed reports and insights on campaign performance, website traffic, conversion rates, and other KPIs to inform decision-making and optimize ROI.

Identify trends, insights, and opportunities based on data analysis to guide future campaigns.

Cross-functional Collaboration:

Work closely with the marketing team to align campaigns with overall brand messaging and objectives.

Partner with content creators and designers to develop compelling ad copy, visuals, and landing pages that drive conversions.

Stay updated on industry trends, new ad formats, and emerging digital marketing strategies to keep campaigns innovative and competitive.

Requirements:

Bachelor’s degree in Marketing, Business, or a related field.

3+ years of experience in digital marketing with a focus on Google Ads, Meta Ads, and data analytics.

• Advanced proficiency in Google Analytics, Google Tag Manager, Google Ads, Facebook Business Manager, Meta ads and SEO tools (e.g., SEMrush, Ahrefs, Moz).

ROLES AND RESPONSIBILITIES:

You will be responsible for architecting, implementing, and optimizing Dremio-based data Lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

IDEAL CANDIDATE:

• Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

PREFERRED:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) and data catalogs (Collibra, Alation, Purview).
• Exposure to Snowflake, Databricks, or BigQuery environments.
• Experience in high-tech, manufacturing, or enterprise data modernization programs.

Review Criteria

• Strong Dremio / Lakehouse Data Architect profile
• 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio
• Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems
• Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts
• Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)
• Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics
• Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices
• Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline
• Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred

• Preferred (Nice-to-have) – Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) or data catalogs (Collibra, Alation, Purview); familiarity with Snowflake, Databricks, or BigQuery environments

Job Specific Criteria

• CV Attachment is mandatory
• How many years of experience you have with Dremio?
• Which is your preferred job location (Mumbai / Bengaluru / Hyderabad / Gurgaon)?
• Are you okay with 3 Days WFO?
• Virtual Interview requires video to be on, are you okay with it?

Role & Responsibilities

You will be responsible for architecting, implementing, and optimizing Dremio-based data lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

Ideal Candidate

• Bachelor’s or master’s in computer science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

Desired Competencies:

Ø  Expertise in Azure Data Factory V2

Ø  Expertise in other Azure components like Data lake Store, SQL Database, Databricks

Ø  Must have working knowledge of spark programming

Ø  Good exposure to Data Projects dealing with Data Design and Source to Target documentation including defining transformation rules

Ø  Strong knowledge of CICD Process

Ø  Experience in building power BI reports

Ø  Understanding of different components like Pipelines, activities, datasets & linked services

Ø  Exposure to dynamic configuration of pipelines using data sets and linked Services

Ø  Experience in designing, developing and deploying pipelines to higher environments

Ø  Good knowledge on File formats for flexible usage, File location Objects (SFTP, FTP, local, HDFS, ADLS, BLOB, Amazon S3 etc.)

Ø  Strong knowledge in SQL queries

Ø  Must have worked in full life-cycle development from functional design to deployment

Ø  Should have working knowledge of GIT, SVN

Ø  Good experience in establishing connection with heterogeneous sources like Hadoop, Hive, Amazon, Azure, Salesforce, SAP, HANA, API’s, various Databases etc.

Ø  Should have working knowledge of different resources available in Azure like Storage Account, Synapse, Azure SQL Server, Azure Data Bricks, Azure Purview

Ø  Any experience related to metadata management, data modelling, and related tools (Erwin or ER Studio or others) would be preferred

Preferred Qualifications:

Ø  Bachelor's degree in Computer Science or Technology

Ø  Proven success in contributing to a team-oriented environment

Ø  Proven ability to work creatively and analytically in a problem-solving environment

Ø  Excellent communication (written and oral) and interpersonal skills

Qualifications

BE/BTECH

KEY RESPONSIBILITIES :

Location – Bangalore

• Setting KPIs, monitoring key trends, and helping stakeholders by generating insights from the data delivered.
• Understanding user behaviour and performing root-cause analysis of changes in data trends across different verticals.
• Get answers to business questions, identify areas of improvement, and identify opportunities for growth.
• Work on ad-hoc requests for data and analysis.
• Work with Cross functional Teams as when required to automate reports and create informative dashboards based on problem statements.

• 1-2 years of experience working in Analytics as a Business or Data Analyst.
• Analytical mind with a problem-solving aptitude.
• Familiarity with Microsoft Azure & AWS PySpark, Python, Data Bricks, Metabase, Understanding of APIs, data warehouse and ETL etc.
• Proficient in writing Complex Queries in SQL.
• Experience in Performing hands-on analysis on data and across multiple datasets and databases primarily using Excel, Google Sheets and R.
• Ability to work across cross-functional teams proactively.