MiQ Digital Is Hiring A Analytics Engineer

Techjobalert; Bengaluru; On-site; INR 4,00,000 - 6,00,000; Full time

Job summary

A forward-thinking company is seeking an Analytics Engineer to join their dynamic team. This role is essential for designing and optimizing data models, ensuring data quality, and collaborating with cross-functional teams to drive data-driven decision-making. You will be responsible for maintaining data documentation, enhancing data pipelines, and applying best practices in data engineering. If you are passionate about data and eager to make a significant impact in a collaborative environment, this opportunity is perfect for you. Join a team that values innovation and is committed to leading the programmatic industry forward.

Qualifications

• Bachelor's or master's in relevant fields like statistics or computer science.
• Experience in data engineering and normalization is essential.

Responsibilities

• Design and optimize data models and pipelines for efficient data processing.
• Collaborate with teams to integrate data solutions into dashboards and models.

Skills

Data Normalization

Data Optimization

Problem-Solving

Communication Skills

Attention to Detail

Machine Learning Concepts

Education

Bachelor's Degree in Statistics

Master's Degree in Computer Science

PhD in Software Engineering

Tools

Apache Spark

SQL

Python

R

PySpark

dbt

Git

Snowflake

Amazon Redshift

Google BigQuery

AWS Glue

Tableau

Looker

Job description

MiQ Digital is hiring an Analytics Engineer and every data science jobseeker is eligible to apply.

About Role

We’re MiQ, a global programmatic media partner for marketers and agencies. Our people are at the heart of everything we do, so you will be too. No matter the role or the location, we’re all united in the vision to lead the programmatic industry and make it better. As an Analytics Engineer within MiQ DnA department, you will play a pivotal role in creating and optimizing the business layer of data.

Your responsibilities will revolve around designing data models, data normalization, and optimization within data pipelines, maintaining data documentation, ensuring that the data is readily consumable by dashboards, data science models, and automated jobs. You will also work closely with other analysts to guide and enable them on code optimization, providing necessary training to follow best practices at all times.

Additionally, you will collaborate closely with the Data Management (DM) team, serving as the Single Point of Contact (SPOC) from the DnA team, to facilitate seamless communication and alignment of objectives.

Job ID: 54162

Job Role: Data Analyst

Education Qualifications: BE/B.Tech or Other Tech Degree

Salary Package: 4 to 6 LPA or as per company standards

Experience: Entry level

Job Location: Bengaluru (IT Hub)

Last apply date: ASAP

Responsibilities

Design Data Models, Data Normalization and Optimization:

• Develop and implement strategies for data normalization and optimization within the existing data pipelines.
• Ensure consistency and accuracy of data across various sources and formats.
• Own data transformation – Model raw data into clean, tested, and reusable datasets for all formats and attributes of data.
• Generate accurate models and communicate effectively through visual representations.

Business Layer Development:

• Build and maintain a robust business layer of data that aligns with DnA insights and solutions.
• Collaborate with stakeholders to understand business needs and translate them into actionable data structures.
• Own and drive data documentation for the DnA team.
• Create reusable data assets ready for analysis by the DnA team.
• Continuously improve data pipelines to enhance efficiency, reliability, and scalability.
• Troubleshoot and resolve pipeline issues in a timely manner to minimize disruptions.
• Apply software engineering best practices to analytics code.

Collaboration with Data Science and Local Product Teams:

• Work closely with analysts, data scientists, and consultants to integrate data solutions into dashboards, models, and automated processes.
• Provide support in developing and optimizing data-driven solutions.
• Maintain an analytical and business-outcomes mindset in data engineering efforts.

Optimization of High-Cost Jobs and Data Quality:

• Identify opportunities and optimize high-cost data processing and analysis tasks within DnA.
• Implement solutions to improve performance and reduce resource consumption.
• Define data quality metrics for operational and analytics fit needs.
• Write data cleansing algorithms when needed to further improve the quality of data.

Required Qualifications

• Bachelor’s, master’s, or PhD degree in corresponding domains, e.g., statistics, mathematics, computer science, software engineering, or IT.
• Proven experience in data engineering, data normalization, and optimization.
• Proficiency in data pipeline development using tools such as Apache Spark.
• Strong understanding of data modeling concepts and techniques.
• Excellent communication and collaboration skills, with the ability to effectively interact with cross-functional teams.
• Strong problem-solving abilities and attention to detail.
• Familiarity with machine learning concepts and algorithms is a plus.
• Experience in digital advertising/digital marketing companies/projects is a plus.
• Hands-on working experience of DataOps methodology is highly preferred.
• Good knowledge of SQL, Python, R, PySpark, dbt, Git, and cloud warehouses.
• Experience with data warehouses like Snowflake, Amazon Redshift, and Google BigQuery; ETL tools like AWS Glue, Talend, or others; Business Intelligence and Data visualization tools like Tableau, Looker, or equivalent.
• Proven experience in applying software engineering best practices to analytics code.
• Extensive hands-on experience with tools for building data pipelines.
• Strong interpersonal skills – Being able to ask the right questions in an appropriate way is crucial.