Performance Marketing Executive

About the Role:

We are looking for a highly skilled Data Engineer with a strong foundation in Power BI, SQL, Python, and Big Data ecosystems to help design, build, and optimize end-to-end data solutions. The ideal candidate is passionate about solving complex data problems, transforming raw data into actionable insights, and contributing to data-driven decision-making across the organization.

Key Responsibilities:

• Data Modelling & Visualization
• Build scalable and high-quality data models in Power BI using best practices.
• Define relationships, hierarchies, and measures to support effective storytelling.
• Ensure dashboards meet standards in accuracy, visualization principles, and timelines.
• Data Transformation & ETL
• Perform advanced data transformation using Power Query (M Language) beyond UI-based steps.
• Design and optimize ETL pipelines using SQL, Python, and Big Data tools.
• Manage and process large-scale datasets from various sources and formats.
• Business Problem Translation
• Collaborate with cross-functional teams to translate complex business problems into scalable, data-centric solutions.
• Decompose business questions into testable hypotheses and identify relevant datasets for validation.
• Performance & Troubleshooting
• Continuously optimize performance of dashboards and pipelines for latency, reliability, and scalability.
• Troubleshoot and resolve issues related to data access, quality, security, and latency, adhering to SLAs.
• Analytical Storytelling
• Apply analytical thinking to design insightful dashboards—prioritizing clarity and usability over aesthetics.
• Develop data narratives that drive business impact.
• Solution Design
• Deliver wireframes, POCs, and final solutions aligned with business requirements and technical feasibility.

Required Skills & Experience:

• Minimum 3+ years of experience as a Data Engineer or in a similar data-focused role.
• Strong expertise in Power BI: data modeling, DAX, Power Query (M Language), and visualization best practices.
• Hands-on with Python and SQL for data analysis, automation, and backend data transformation.
• Deep understanding of data storytelling, visual best practices, and dashboard performance tuning.
• Familiarity with DAX Studio and Tabular Editor.
• Experience in handling high-volume data in production environment.
• Exposure to Big Data technologies such as:
• PySpark (must have)
• Hadoop
• Hive / HDFS
• Spark Streaming (optional but preferred)

Why Join Us?

• Work with a team that's passionate about data innovation.
• Exposure to modern data stack and tools.
• Flat structure and collaborative culture.
• Opportunity to influence data strategy and architecture decisions.

• Develop structured storyboard decks based on instructional flow and content outlines
• Design reusable slide masters, layout systems, and UI components for learning modules
• Visually represent Level 2 and Level 3 interaction placeholders such as tabs, click reveals, branching paths, and activities
• Create infographics, icons, diagrams, and visual hierarchies for learning clarity
• Ensure alignment with corporate brand guidelines and accessibility standards
• Prepare clean, logically organized PPT files ready for eLearning development
• Support visual revisions, updates, and translated content formatting

Job Description

We’re looking for a talented Social Media Executive to join our team. The ideal candidate will be responsible for planning, implementing, and monitoring our company’s social media strategy in order to increase brand awareness, improve marketing efforts, and drive engagement with our target audience. This role requires a deep understanding of social media platforms, excellent communication skills, and a creative mindset.

Roles And Responsibilities

• Create a content calendar to ensure a consistent and engaging online presence.
• Collaborate with the design and content teams to create visually appealing and informative posts.
• Use social media analytics tools to track the performance of content and campaigns.
• Plan and execute social media advertising campaigns, including budget allocation and targeting.
• Monitor and analyze ad performance, making adjustments as needed to maximize ROI.
• Stay informed about emerging social media trends, tools, and platforms.
• Stay up-to-date with industry trends and best practices to continually refine the strategy.
• Maintain Client relations & manage team.

Skills Required

• Basic knowledge of social media platforms, algorithms and paid ads.
• Ability to work independently and as part of a team.
• Job Type: Full-time
• Experience required: 0 to 1 yrs
• 
  

Industry Type: Digital Marketing

Department: Social Media Management

Employment Type: Full Time, Permanent

Education

UG: Any Graduate

PG: Any Postgraduate

Job Title: QA Engineer – ETL & HL7 (Data Pipeline QA) Location: Remote – India (UK Working Hours)

Job Type: Full-Time Company: BigRio

About BigRio:

BigRio is a remote-based, technology consulting firm headquartered in Boston, MA. We specialize in delivering advanced software solutions that include custom development, cloud data platforms, AI/ML integrations, and data analytics. With a diverse portfolio of clients

across industries such as healthcare, biotech, fintech, and more, BigRio offers the opportunity to work on cutting-edge projects with a team of top-tier professionals.

Job Description:

We are seeking a highly skilled and detail-oriented QA Engineer with strong experience in ETL testing and HL7 validation to join our growing data engineering team. This role will focus on data pipeline testing, ensuring data accuracy, quality, and integrity as it moves

across systems and services in a healthcare-focused environment.

Key Responsibilities:

·        Design, develop, and execute test plans and test cases for ETL processes and data pipelines.

·        Validate data transformations, data integrity, and completeness across source and target systems.

·        Conduct end-to-end testing of HL7 messages and healthcare data flows.

·        Collaborate with developers, data engineers, and stakeholders to define test strategies and identify issues.

·        Automate QA processes wherever feasible using appropriate scripting and tools.

·        Perform root cause analysis and ensure timely defect resolution.

·        Ensure compliance with data quality standards and healthcare regulations.

Required Qualifications:

·        4+ years of experience in QA with a focus on ETL/data pipeline testing.

·        Hands-on experience with HL7 message formats and healthcare data exchange.

·        Strong understanding of data warehousing concepts, data mapping, and validation techniques.

·        Proficient in writing complex SQL queries for data validation.

·        Experience working with large datasets in a cloud or hybrid environment.

·        Familiarity with QA automation tools is a plus (e.g., PyTest, Selenium, JMeter).

·        Strong communication and documentation skills.

Nice to Have:

·        Experience with cloud data platforms like AWS, Azure, or GCP.

·        Prior experience in the healthcare or life sciences domain.

·        Knowledge of FHIR standards or healthcare interoperability.

LogiNext is looking for a technically savvy and passionate Principle Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.

Responsibilities :

Adapting and enhancing machine learning techniques based on physical intuition about the domain Design sampling methodology, prepare data, including data cleaning, univariate analysis, missing value imputation, , identify appropriate analytic and statistical methodology, develop predictive models and document process and results Lead projects both as a principal investigator and project manager, responsible for meeting project requirements on schedule and on budget Coordinate and lead efforts to innovate by deriving insights from heterogeneous sets of data generated by our suite of Aerospace products Support and mentor data scientists Maintain and work with our data pipeline that transfers and processes several terabytes of data using Spark, Scala, Python, Apache Kafka, Pig/Hive & Impala Work directly with application teams/partners (internal clients such as Xbox, Skype, Office) to understand their offerings/domain and help them become successful with data so they can run controlled experiments (a/b testing) Understand the data generated by experiments, and producing actionable, trustworthy conclusions from them Apply data analysis, data mining and data processing to present data clearly and develop experiments (ab testing) Work with development team to build tools for data logging and repeatable data tasks tol accelerate and automate data scientist duties

Requirements:

Bachelor’s or Master’s degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field. PhD preferred 8 to 10 years of experience in data mining, data modeling, and reporting 5+ years of experience working with large data sets or do large scale quantitative analysis Expert SQL scripting required Development experience in one of the following: Scala, Java, Python, Perl, PHP, C++ or C# Experience working with Hadoop, Pig/Hive, Spark, MapReduce Ability to drive projects Basic understanding of statistics – hypothesis testing, p-values, confidence intervals, regression, classification, and optimization are core lingo Analysis - Should be able to perform Exploratory Data Analysis and get actionable insights from the data, with impressive visualization. Modeling - Should be familiar with ML concepts and algorithms; understanding of the internals and pros/cons of models is required. Strong algorithmic problem-solving skills Experience manipulating large data sets through statistical software (ex. R, SAS) or other methods Superior verbal, visual and written communication skills to educate and work with cross functional teams on controlled experiments Experimentation design or A/B testing experience is preferred. Experience in leading a team required.

QA automation engineers to design automated tests to validate the functionality of network protocol software stack. Their job is to create the initial test plan, write the scripts, install the automation testing protocols, and report the results.

Experience Required: 0-2 years

Primary Skills:

Hand on experience to QA the product following customer requirements.

Prepared test cases, testing, documenting errors (depending on the phase of the project) Checking the bug tracking system for the fixed errors.

Following the automation testing plan to prepare and execute the automation testing and verifying the automation testing results and fixing the automation cases and automation environment issues.

Candidate should have fundamental core networking skills, with basic knowledge of TCP/IP Protocol suite, OSI layered architecture and should be able to relate that knowledge in troubleshooting related issues.

Ability to learn quickly and adapt to new product as organization evolves.

Additional Skills (Preferred):

0-2 years of experience in QA in the field of computer networking is plus.

Hands on experience with Cloud systems, APIs, Application and Database systems.

Hands on experience with Linux and knowledge of Operating System concepts.

Good understanding of complete software delivery cycle(worked with ticketing system, escalation management and building knowledge base for customer support organization)

Nice to have experience in Selenium.

Knowledge in SNMP Protocol.

Familiarity with IXIA Traffic Generator and its APIs for Automation.

Minimum Qualifications:

B.Tech / M.Tech / M.Sc (Computer Science/Information Technology/MCA)