Data Engineer – Manufacturing Operations

Jobtailor; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Jobtailor in Bengaluru, India seeks a seasoned Data Engineer with 4–7 years of experience in analytics and BI. You will synthesize business requirements, develop scalable data pipelines on cloud platforms, and build dashboards for business users using Tableau and Power BI.

Responsibilities include data extraction, data modelling, KPI development, and advanced visualization with DAX and Python. Strong communication and client-facing skills are essential in this consulting environment.

Qualifications

• Must have strong data analysis skills and ability to synthesize business requirements into BI solutions.
• Proficiency in BI visualization tools (Tableau, Power BI) and data storytelling.
• Hands-on experience with cloud data platforms and large data sets.

Responsibilities

• Synthesizes business requirements and develops innovative analytics and BI solutions that meet customer requirements.
• Using automated tools to extract data from primary and secondary sources.
• Data Engineering to build pipelines.
• Exploratory Data Analysis to clean and improve the quality of the data.
• Using tools to identify, analyse, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction.
• Manipulates and analyses complex, high-volume, high-dimensional data using data analysis techniques.
• Works on data modelling, KPI development and insight generation.
• Develop visualization using excel, Power BI, Tableau for insight generation.
• Advanced visualization using DAX, Python programming.
• Ability to work on Snowflake platform, build scalable data pipeline and futuristic data architecture which helps in building ML models, dashboards for business users.

Skills

Analytical thinking

Data analysis

KPI development

Insight generation

Communication skills

Teamwork

Verbal and Written communication

Education

Bachelor's or Master's in Mathematics/CS/Physics/Statistics

Tools

Azure Databricks

Spark

Blob Storage

Cool Blob Storage

Virtual Machine

Functions

SQL Data Warehouse

Snowflake

Hadoop

Hive

HBase

Python

Tableau

Power BI

Job description

Responsibilities

• Synthesizes business requirements and develops innovative analytics and BI solutions that meet customer requirements.
• Using automated tools to extract data from primary and secondary sources.
• Data Engineering to build pipelines.
• Exploratory Data Analysis to clean and improve the quality of the data.
• Using tools to identify, analyse, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction.
• Manipulates and analyses complex, high-volume, high-dimensional data using data analysis techniques.
• Works on data modelling, KPI development and insight generation.
• Develop visualization using excel, Power BI, Tableau for insight generation.
• Advanced visualization using DAX, Python programming.
• Ability to work on Snowflake platform, build scalable data pipeline and futuristic data architecture which helps in building ML models, dashboards for business users.

Qualifications

• Bachelors or Master’s degree in mathematics, Computer Science, Physics or Statistics.
• 4-7 years of experience in a consulting or client-facing environment.
• Good knowledge of database warehousing principles and tools.
• Proficiency in Azure Data Engineering concepts in Data integration, Data quality, building CI/CD pipeline & Data storage (ADLS).
• Minimum of 2-3 years of hands‑on experience in Cloud technologies such as Azure Databricks, Spark, Blob Storage, Cool Blob Storage, Virtual Machine, Functions, SQL Data Warehouse.
• Ability to collect, organize, analyse, and disseminate large amounts of data with attention to detail and accuracy.
• Must be a self‑starter/strong drive for results.
• Advanced knowledge of Business Intelligence and visualization tools Tableau and PowerBI.
• Advanced technical skills in Database and SQL.
• Advanced knowledge in programming language Python.
• Knowledge of big data technologies (Hadoop, Hive, HBase, Spark, etc.).
• Knowledge of agile development methodologies.
• Proven working experience in data analysis.
• Adept at queries, writing reports, and making presentations.
• Team‑working skills.
• Verbal and Written communication skills.