Analytics Data Engineer

Indium; Hyderabad; On-site; INR 700,000 - 1,000,000; Full time

Benefits offered by this job

Flexible work hours

Attractive pay package and perks

Dynamic and intelligent team

Inclusive work environment

Job summary

Indium is seeking an Analytics Data Engineer to support Data and Analytics in database design and data flow activities. You'll develop data pipelines that facilitate better decision-making and design innovative big data platforms.

Ideal candidates will have extensive SQL experience, proficiency in tools like Python and PySpark, and demonstrate strong analytical skills. Enjoy a dynamic work environment with flexible hours and attractive pay packages while contributing to impactful projects.

Qualifications

• Extensive experience with SQL and strong ability to process and analyse complex data.
• Ability to design, build, and maintain the business’s ETL pipeline and data warehouse.
• Expertise in data modelling and query performance tuning on SQL Server.

Responsibilities

• Provide support to the Data and Analytics in database design, data flow and analysis activities.
• Define and build data pipelines for improved data-driven decision-making.
• Develop and deploy innovative big data platforms for advanced analytics.

Skills

SQL

Python

PySpark

Spark

HiveQL

Mixpanel

Apache Hive

Job description

Indium Software is a niche technology solutions company with deep expertise in Digital, QA and Gaming. Indium helps customers in their Digital Transformation journey through a gamut of solutions that enhance business value.

With over 1000+ associates globally, Indium operates through offices in the US, UK and India.

Visit www.indiumsoftware.com to know more.

Job Title

Analytics Data Engineer

What Will You Do

The Data Engineer must be an expert in SQL development further providing support to the Data and Analytics in database design, data flow and analysis activities. The position also plays a key role in the development and deployment of innovative big data platforms for advanced analytics and data processing. The Data Engineer defines and builds the data pipelines that will enable faster, better, data‑informed decision‑making within the business.

We Ask

• Extensive experience with SQL and strong ability to process and analyse complex data.
• Ability to design, build, and maintain the business’s ETL pipeline and data warehouse.
• Expertise in data modelling and query performance tuning on SQL Server.
• Proficiency with analytics experience, especially funnel analysis, and have worked on analytical tools like Mixpanel, Amplitude, ThoughtSpot, Google Analytics and similar tools.
• Experience with tools and frameworks required for building efficient and scalable data pipelines.
• Excellent communication and ability to influence others and drive towards a better solution continuously.
• Experience working in Python, Hive queries, Spark, PySpark, SparkSQL and Presto.
• Relate metrics to product.
• Programmatic thinking.
• Handle edge cases.
• Good communication.
• Product functionality understanding.

Perks & Benefits

• A dynamic, creative and intelligent team that encourages love of work.
• Autonomous and hands‑on role to make an impact during an exciting time of growth.
• Flexible work hours.
• Attractive pay package and perks.
• An inclusive work environment that lets you work the way that works best for you.

Skills: Python, SQL, PySpark, Spark, HiveQL, Mixpanel and Apache Hive.