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21 TransOrg Analytics Jobs

Data Engineer

3-5 years

₹ 13 - 12L/yr (AmbitionBox estimate)

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This is an estimate of the average salary range for this position. It has not been reviewed by the company, and the actual salary may differ.

Gurgaon / Gurugram, Bangalore / Bengaluru, Mumbai

8 vacancies

Data Engineer

TransOrg Analytics

posted 13d ago

Job Role Insights

Fixed timing

Job Description

Job Description_ Data Engineer _ TransOrg Analytics


Why would you like to join us?


TransOrg Analytics specializes in Data Science, Data Engineering and Generative AI, providing advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, APAC and the Middle East. We leverage data science to streamline, optimize, and accelerate our clients' businesses.

Visit at www.transorg.com to know more about us.


Responsibilities:


  • Design, develop, and maintain robust data pipelines using Azure Data Factory and Databricks workflows.
  • Implement and manage big data solutions using Azure Databricks.
  • Design and maintain relational databases using Azure Delta Lake.
  • Ensure data quality and integrity through rigorous testing and validation.
  • Monitor and troubleshoot data pipelines and workflows to ensure seamless operation.
  • Implement data security and compliance measures in line with industry standards.
  • Continuously improve data infrastructure (including CI/CD) for scalability and performance.
  • Design, develop, and maintain ETL processes to extract, transform, and load data from various sources into Snowflake.
  • Utilize ETL tools (e.g., ADF, Talend) to automate and manage data workflows.
  • Develop and maintain CI/CD pipelines using GitHub and Jenkins for automated deployment of data models and ETL processes.
  • Monitor and troubleshoot pipeline issues to ensure smooth deployment and integration.
  • Design and implement scalable and efficient data models in Snowflake.
  • Optimize data structures for performance and storage efficiency.
  • Collaborate with stakeholders to understand data requirements and ensure data integrity
  • Integrate multiple data sources to create data lake/data mart Perform data ingestion and ETL processes using SQL, Scoop, Spark or Hive
  • Monitor job performances, manage file system/disk-space, cluster & database connectivity, log files, manage backup/security and troubleshoot various user issues
  • Design, implement, test and document performance benchmarking strategy for platforms as well as for different use cases
  • Setup, administer, monitor, tune, optimize and govern large scale implementations
  • Drive customer communication during critical events and participate/lead various operational improvement initiatives

Qualifications, Skill Set and competencies:


  • Bachelor's in Computer Science, Engineering, Statistics, Maths or related quantitative degree.
  • 3 - 6 years of relevant experience in data engineering.
  • Must have worked on any of the cloud engineering platforms - AWS, Azure, GCP, Cloudera
  • Proven experience as a Data Engineer with a focus on Azure cloud technologies/Snowflake.
  • Strong proficiency in Azure Data Factory, Azure Databricks, ADLS, and Azure SQL Database.
  • Experience with big data processing frameworks like Apache Spark.
  • Expert level proficiency in SQL and experience with data modeling and database design.
  • Knowledge of data warehousing concepts and ETL processes.
  • Strong focus on PySpark, Scala and Pandas.
  • Proficiency in Python programming and experience with other data processing frameworks.
  • Solid understanding of networking concepts and Azure networking solutions.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration skills.
  • Azure Data Engineer certification AZ-900 and DP-203 (Good to have)
  • Familiarity with DevOps practices and tools for CI/CD in data engineering.
  • Certification: MS Azure / DBR Data Engineer (Good to have)
  • Data Ingestion - Coding & automating ETL pipelines, both batching & streaming. Should have worked on both ETL or ELT methodologies using any of traditional & new age tech stack- SSIS, Informatica, Databricks, Talend, Glue, DMS, ADF, Spark, Kafka, Storm, Flink etc.
  • Data transformation - Experience working with MPPs, big data & distributed computing frameworks on cloud or cloud agnostic tech stack- Databricks, EMR, Hadoop, DBT, Spark etc,
  • Data storage - Experience working on data lakes, lakehouse architecture- S3, ADLS, Blob, HDFS
  • DWH - Strong experience modelling & implementing DWHing on tech like Redshift, Snowflake, Azure Synapse, Bigquery, Hive
  • Orchestration & lineage - Airflow, Oozie etc.

Employment Type: Full Time, Permanent

Read full job description

TransOrg Analytics Interview Questions & Tips

Prepare for TransOrg Analytics Data Engineer roles with real interview advice

Top TransOrg Analytics Data Engineer Interview Questions

Q1. Assume We had a PAN india Retail store because of which i have customer table in backend one is customer profile table and other is customer ... read more
Q2. What is the Difference between Transformation and Actions in pyspark? And Give Example
Q3. what is Common Expression Query (CTE)?How CTE is different from Stored Procedure?
View all 12 questions

What people at TransOrg Analytics are saying

4.0
 Rating based on 1 Data Engineer review

Likes

Learning. Growth. Hikes

  • Skill development - Excellent
  • +3 more
Dislikes

Nothing as of now

Read 1 Data Engineer review

Data Engineer salary at TransOrg Analytics

reported by 5 employees with 3-5 years exp.
₹11.9 L/yr - ₹13 L/yr
15% more than the average Data Engineer Salary in India
View more details

What TransOrg Analytics employees are saying about work life

based on 30 employees
57%
93%
58%
86%
Strict timing
Monday to Friday
No travel
Day Shift
View more insights

TransOrg Analytics Benefits

Job Training
Soft Skill Training
Work From Home
Health Insurance
Free Transport
Child care +6 more
View more benefits

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