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Azure Analysis Service
MNC
Azure Analysis Service
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Azure Analysis Service

at MNC

Agency job
5 - 8 yrs
₹8L - ₹16L / yr
Bengaluru (Bangalore)
Skills
Windows Azure
SQL server
DAX
AAS
Azure Analysis service
SSAS
1) "Azure Analysis services" Lead Developer with 7+ years of experience in AAS Data Model Development, AAS Data model Deployment in Azure, Querying data from AAS to build Reports. Experience in developing, optimizing and administering Tabular Models in 'Azure Analysis service'.
2) Design and Create AAS/OLAP/ Tabular cubes and automate processes for analytical needs. Expertise in developing OLAP cubes and developing complex calculations, Aggregations, implementing a dynamic security model using DAX functions in - Azure Analysis service
3) Writing optimized SQL queries for integration with other applications, Maintain data quality and overseeing database security, Partitions and Index. Extensively used performance monitor/SQL profiler/DMVs to solve deadlocks, to monitor long-running queries and trouble-shoot cubes SQL and T-SQL.
4) Designing database tables and structures, creating views functions and stored procedures.
5) Exposure to PowerBI will be an added advantage.
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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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.
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  3. Hands-on experience with cloud platforms like AWS Azure or Google Cloud particularly with data-related services (e.g. AWS Glue BigQuery).
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Knowledge Examples:

  1. Knowledge of various ETL services used by cloud providers including Apache PySpark AWS Glue GCP DataProc/Dataflow Azure ADF and ADLF.
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  3. Understanding of data schemas and models.
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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.

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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.


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

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

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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

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Navtech
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We’re a fast-growing company with clients in the United States, UK, and Europe. You will join a team of talented developers, quality engineers, product managers whose mission is to impact above 100 million people across the world with technological services by the year 2030.

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Working as an Assistant at Navtech, you will:


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US based AI startup company
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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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