SEO Executive

Role & Responsibilities

·      Collect, clean, and analyze large structured and unstructured datasets from multiple internal and external sources

·      Conduct thorough exploratory data analysis (EDA) to understand data distributions, relationships, outliers, and missing value patterns

·      Profile and audit datasets to assess data quality, completeness, consistency, and fitness for modeling

·      Investigate and document data lineage — understanding where data originates, how it flows, and how it transforms across systems

·      Identify and resolve data anomalies, inconsistencies, and integrity issues in collaboration with data engineering teams

·      Develop a deep understanding of the business domain and the underlying data that represents it — including what each field means, how it is captured, and what its limitations are

·      Translate raw, messy, real-world data into clean, well-understood analytical datasets ready for modeling and reporting

·      Apply statistical techniques such as correlation analysis, hypothesis testing, variance analysis, and distribution fitting to extract meaningful signals from noise

·      Build and deploy machine learning models including regression, classification, clustering, NLP, and time-series analysis

·      Design, evaluate, and analyze A/B experiments and controlled tests using causal inference techniques

·      Develop data-driven recommendations backed by rigorous statistical reasoning

·      Write clean, production-ready code in Python or R

·      Collaborate with data engineers to build reliable data pipelines and feature stores

·      Deploy and monitor ML models using MLOps best practices on cloud infrastructure

·      Build dashboards and self-serve analytics tools to support stakeholder decision-making

Data Understanding & Analysis Skills

·      Strong ability to interrogate unfamiliar datasets and quickly develop a working understanding of their structure, semantics, and quirks

·      Experience working with messy, incomplete, or poorly documented real-world data

·      Skilled in identifying hidden patterns, trends, seasonality, and anomalies through visual and statistical exploration

·      Ability to ask the right questions about data — challenging assumptions, validating sources, and understanding the context in which data was collected

·      Proficiency in data profiling, descriptive statistics, and summary reporting to communicate the shape and health of a dataset

·      Experience creating data dictionaries, documentation, and data quality reports to support team-wide data understanding

·      Comfort working across structured (relational tables), semi-structured (JSON, XML), and unstructured (text, logs, sensor streams) data formats

Technical Skills Required

·      Proficiency in Python (pandas, NumPy, scikit-learn, PyTorch or TensorFlow) and/or R

·      Strong SQL skills with hands-on experience in DB2 and SQL Server

·      Experience with Databricks for large-scale data processing, feature engineering, and model training

·      Familiarity with cloud platforms: Azure or AWS

·      Experience with data warehouses and big data platforms (Databricks, Snowflake, or Redshift)

·      Knowledge of MLOps tools such as MLflow, Kubeflow, or Airflow

·      Experience with streaming data technologies such as Kafka or Spark

·      Solid foundation in probability, statistics, linear algebra, and experimental design

Nice to Have

·      Experience with deep learning, NLP, computer vision, or Bayesian methods

·      Familiarity with real-time or streaming data pipelines

·      Open-source contributions or published research

Role Proficiency:

This role requires proficiency in developing data pipelines including coding and testing for ingesting wrangling transforming and joining data from various sources. The ideal candidate should be adept in ETL tools like Informatica Glue Databricks and DataProc with strong coding skills in Python PySpark and SQL. This position demands independence and proficiency across various data domains. Expertise in data warehousing solutions such as Snowflake BigQuery Lakehouse and Delta Lake is essential including the ability to calculate processing costs and address performance issues. A solid understanding of DevOps and infrastructure needs is also required.

Skill Examples:

1. Proficiency in SQL Python or other programming languages used for data manipulation.
2. Experience with ETL tools such as Apache Airflow Talend Informatica AWS Glue Dataproc and Azure ADF.
3. Hands-on experience with cloud platforms like AWS Azure or Google Cloud particularly with data-related services (e.g. AWS Glue BigQuery).
4. Conduct tests on data pipelines and evaluate results against data quality and performance specifications.
5. Experience in performance tuning.
6. Experience in data warehouse design and cost improvements.
7. Apply and optimize data models for efficient storage retrieval and processing of large datasets.
8. Communicate and explain design/development aspects to customers.
9. Estimate time and resource requirements for developing/debugging features/components.
10. Participate in RFP responses and solutioning.
11. Mentor team members and guide them in relevant upskilling and certification.

Knowledge Examples:

1. Knowledge of various ETL services used by cloud providers including Apache PySpark AWS Glue GCP DataProc/Dataflow Azure ADF and ADLF.
2. Proficient in SQL for analytics and windowing functions.
3. Understanding of data schemas and models.
4. Familiarity with domain-related data.
5. Knowledge of data warehouse optimization techniques.
6. Understanding of data security concepts.
7. Awareness of patterns frameworks and automation practices.

Additional Comments:

# of Resources: 22 Role(s): Technical Role Location(s): India Planned Start Date: 1/1/2026 Planned End Date: 6/30/2026

Project Overview:

Role Scope / Deliverables: We are seeking highly skilled Data Engineer with strong experience in Databricks, PySpark, Python, SQL, and AWS to join our data engineering team on or before 1st week of Dec, 2025.

The candidate will be responsible for designing, developing, and optimizing large-scale data pipelines and analytics solutions that drive business insights and operational efficiency.

Design, build, and maintain scalable data pipelines using Databricks and PySpark.

Develop and optimize complex SQL queries for data extraction, transformation, and analysis.

Implement data integration solutions across multiple AWS services (S3, Glue, Lambda, Redshift, EMR, etc.).

Collaborate with analytics, data science, and business teams to deliver clean, reliable, and timely datasets.

Ensure data quality, performance, and reliability across data workflows.

Participate in code reviews, data architecture discussions, and performance optimization initiatives.

Support migration and modernization efforts for legacy data systems to modern cloud-based solutions.

Key Skills:

Hands-on experience with Databricks, PySpark & Python for building ETL/ELT pipelines.

Proficiency in SQL (performance tuning, complex joins, CTEs, window functions).

Strong understanding of AWS services (S3, Glue, Lambda, Redshift, CloudWatch, etc.).

Experience with data modeling, schema design, and performance optimization.

Familiarity with CI/CD pipelines, version control (Git), and workflow orchestration (Airflow preferred).

Excellent problem-solving, communication, and collaboration skills.

Skills: Databricks, Pyspark & Python, Sql, Aws Services

Must-Haves

Python/PySpark (5+ years), SQL (5+ years), Databricks (3+ years), AWS Services (3+ years), ETL tools (Informatica, Glue, DataProc) (3+ years)

Hands-on experience with Databricks, PySpark & Python for ETL/ELT pipelines.

Proficiency in SQL (performance tuning, complex joins, CTEs, window functions).

Strong understanding of AWS services (S3, Glue, Lambda, Redshift, CloudWatch, etc.).

Experience with data modeling, schema design, and performance optimization.

Familiarity with CI/CD pipelines, Git, and workflow orchestration (Airflow preferred).

******

Notice period - Immediate to 15 days

Location: Bangalore

Strong Manager – Customer Success, Account management Profile

Mandatory (Experience 1) – Must have 6+ years of overall experience with atleast 4+ Years in Customer Success role

Mandatory (Experience 2) – Must have 1+ years of experience in AdTech industry

Mandatory (Experience 3) – Must have experience managing clients in the outside India market (Preferably US/America clients)

Mandatory (Experience 4) – Must have cross-functional experience working closely with Sales, Product, and Ad Operations teams for campaign execution, performance optimization, and client delivery.

Mandatory (Experience 5) – Must have strong technical understanding of digital advertising / programmatic platforms/software products

Mandatory (Company): B2B SaaS (AdTech experience is highly preferred)

Mandatory (Stability) : Candidate must have no frequent job hops and a minimum of 1+ year in the current organization.

Mandatory (Note1): Please ensure candidates have read about media.net and the industry before the screening call

Mandatory (Note2): Please ensure candidates have added numbers/metrics in resume

Company Overview:

We are a dynamic & innovative company in the Automation sector, committed to delivering high-quality products/services to our customers. As we continue to expand our business, we are seeking a motivated Sales Representative to based in Bangalore.

Job Summary:

As a Sales Representative, you will play a pivotal role in driving the growth of our company in Bangalore City. Your primary responsibility will be to establish and maintain strong relationships with potential clients, generate new leads, and close sales to meet and exceed targets. You will be the face of our company, showcasing our products/services and presenting solutions that align with the needs of our customers.

Requirements:

1. Proven 2-3 years work experience as a Sales Representative in FMCG or a related role in Bangalore.

2. Strong understanding of the local market dynamics, customer preferences, and competition in Bangalore City.

3. Must have Excellent communication skills in regional language (Kanada) along with English & Hindi.

4. Self-motivated individual with a passion for sales and the ability to work independently / as part of a team.

5. Demonstrated problem-solving skills and the ability to think creatively to overcome challenges.

6. Bachelor's degree in Business, Marketing, or a related field is preferred but not mandatory.

7. Must have his/her laptop/Desktop, Smart phone+ Two Wheeler.

8. Flexibility to travel within Karnataka to meet with clients as & when required.

9. Ready to travel once in a quarter to HQ in Mumbai.

Desired candidates must have 2-7 years experience as NodeJs Developer. If the candidate is not able to relocate to Gurgaon then we can also provide permanent Work from home for this position.

Roles and responsibilities:

• Responsible for understanding functional and business requirements and translate them into effective code
• Provide support till deployment of code into production.
• Ownership for ensuring code optimization, problem diagnosis, and on-time delivery
• Implement solutions as per the pre-defined framework /guidelines and adherence to processes
• Finding an optimal solution for the problem statement
• Conduct peer code review.

What candidate should know about:

• Excellent hands-on experience with Node.Js, Express.Js, JavaScript
• Understanding the nature of asynchronous programming and its quirks and workarounds
• Excellent hands-on experience with MongoDB, Mongo aggregation, MySQL
• Ability to build REST services, Authentications, MVC applications
• Excellent Object Oriented Programming skills and ability to write modular, secure, scalable, and maintainable code
• Experience with Elastic Search, Redis.
• Knowledge about AWS components (S3, EC2, Cloudfront, Redis Clusters, etc.)
• Self-learning abilities are required
• Familiarity with upcoming new technologies is a strong plus

Experience

• 15+ years with deep expertise in Telecom domain spanning FTTx/PON, L2/L3 Packet Transport (Ethernet Switching and IP Routing) and Cloud networking from both traditional products and transformational products (disaggregated, virtualized, and based on open-source software).  

Key Responsibilities:

• Architectural (design and implementation) ownership of the Radisys BBA solution
• Architect product in consultation with PLM, pre-sales, and customers
• Contributing to and working on strategic deals, enterprise frameworks and comfortable presenting to senior leadership and Customers.
• Ability to quickly engage in proposals, work in a fast-paced environment and have the ability to multi-task.

Domain Skills Requirement:

• Deep knowledge of Telecom with FTTH solution is a must.. Hands-on experience in developing access solutions based on PON technologies
• Experience with deploying product at scale in a carrier-grade network
• Hands-on experience in developing Microservices in a container, orchestration, CI/CD-based environment.
• SDN and NFV 
• Wireline: ONF’s SEBA and VOLTHA Community and the challenges 
• CUPS (Control and User Plane Separation) 
• Wireline Access: OLTs, BNGs, ONTs, Residential Gateways (RGs) 
• PON Technologies: GPON, XGS-PON, NGPON-2, and Higher speed next gen PON standards (25G, 50G, 100G) 
• Ethernet Switching (L2) & IP Routing (L3); Software Defined Networking (ONOS, ODL) 
• Installing, running, and managing with Kubernetes (k8s) and Containers 
• Management and Orchestration (e.g., ONAP), Network Management, OSS/BSS, and TM Forum standards 
• Practitioner of Agile/SCRUM/SAFe

Qualification:

• Masters / Bachelor in any discipline of Engineering (Computer Science, Electronics preferred)