Upload Button Icon Add office photos
filter salaries All Filters

24 Lingaro Jobs

Data Engineer (MS Fabric)- Lead Consultant

2-4 years

Kolkata, Mumbai, New Delhi + 4 more

1 vacancy

Data Engineer (MS Fabric)- Lead Consultant

Lingaro

posted 3d ago

Job Role Insights

Flexible timing

Job Description

  • A bachelors or masters degree in Computer Science, Information Systems, or a related field is typically required.
  • Work commercial experience as a Data Engineer or a similar role.
  • Proficiency in MS Fabric, Azure Data Factory, Azure Synapse Analytics, Azure Databricks.
  • Extensive knowledge of MS Fabric components:Lakehouse, OneLake, Data Pipelines, Real-Time Analytics, Data warehouse, Power BI Integration, Semantic Models, Spark Jobs, Notebooks and Realtime Analytics, Dataflow Gen1 and Gen2, KQL.
  • Integrate Fabric capabilities for seamless data flow, governance, and collaboration across teams.
  • Strong understanding of Delta Lake, Parquet, and distributed data systems.
  • Strong programming skills in Python, PySpark, Scala and Spark SQL/TSQL for data transformations.
  • Excellent knowledge on Source control / Version Control along with CICD is a plus.
  • Strong experience in implementation and management of lake House using Databricks and Azure Tech stack (ADLS Gen2, ADF, Azure SQL).
  • Proficiency in data integration techniques, ETL processes and data pipeline architectures.
  • Solid understanding of data processing techniques such as batch processing, real-time streaming, and data integration.
  • Proficiency in working with relational and non-relational databases such as MSSQL, MySQL, PostgreSQL or Cassandra. Knowledge of data warehousing concepts and technologies like Redshift, Snowflake, or BigQuery is beneficial.
  • Good knowledge of data storage architectures, including delta lakes, data warehouses, or distributed file systems
  • Proficient in data modeling techniques and database optimization. Knowledge of query optimization, indexing, and performance tuning is necessary for efficient data retrieval and processing.
  • Understanding of data security best practices and experience implementing data governance policies. Familiarity with data privacy regulations and compliance standards is a plus.
  • Strong problem-solving abilities to identify and resolve issues related to data processing, storage, or infrastructure. Analytical mindset to analyze and interpret complex datasets for meaningful insights.
  • Experience in designing and creating integration and unit test will be beneficial.
  • Excellent communication skills to effectively collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders. Ability to convey technical concepts to non-technical stakeholders in a clear and concise manner.
  • A passion for staying updated with emerging technologies and industry trends in the field of big data engineering. Willingness to learn and adapt to new tools and techniques to enhance data processing, storage, and analysis capabilities.
  • Proficient in database management systems such as SQL (Big Query is a must), NoSQL.
  • Candidate should be able to design, configure, and manage databases to ensure optimal performance and reliability.
  • Experience with data integration tools and techniques, such as ETL and ELT Candidate should be able to integrate data from multiple sources and transform it into a format that is suitable for analysis.
Nice to Have: Certifications are an advantage.
  • DP-600 (Fabric Analytics Engineer Associate) certification
  • DP-700 (Microsoft Certified: Fabric Data Engineer Associate)
  • DP-203 (Azure Data Engineer Associate) certification
  • Databricks Associate/ Spark Developer Associate certification.
Tasks:
You will be a part of the team accountable for design, model and development of whole GCP data ecosystem for one of our Client s (Cloud Storage, Cloud Functions, BigQuery) Involvement throughout the whole process starting with the gathering, analyzing, modelling, and documenting business/technical requirements will be needed. The role will include direct contact with clients.
  • Designing and implementing data processing systems using Microsoft Fabric, Azure Data Analytics, Databricks and other distributed frameworks like Hadoop, Spark, Snowflake, Airflow, or other similar technologies. This involves writing efficient and scalable code to process, transform, and clean large volumes of structured and unstructured data.
  • Building data pipelines to ingest data from various sources such as databases, APIs, or streaming platforms. Integrating and transforming data to ensure its compatibility with the target data model or format.
  • Designing and optimizing data storage architectures, with One lake, data lakes, data warehouses, Serverless and any distributed file systems. Implementing techniques like partitioning, compression, or indexing to optimize data storage and retrieval. Identifying and resolving bottlenecks, tuning queries, and implementing caching strategies to enhance data retrieval speed and overall system efficiency.
  • Designing and implementing data models that support efficient data storage, retrieval, and analysis. Collaborating with data scientists and analysts to understand their requirements and provide them with well-structured and optimized data for analysis and modeling purposes.
  • Utilizing frameworks like Spark to perform distributed computing tasks, such as parallel processing, distributed data processing, or machine learning algorithms
  • Implementing security measures to protect sensitive data and ensuring compliance with data privacy regulations. Establishing data governance practices to maintain data integrity, quality, and consistency.
  • Identifying and resolving issues related to data processing, storage, or infrastructure. Monitoring system performance, identifying anomalies, and conducting root cause analysis to ensure smooth and uninterrupted data operations.
  • Collaborating with cross-functional teams including data scientists, analysts, and business stakeholders to understand their requirements and provide technical solutions. Communicating complex technical concepts to non-technical stakeholders in a clear and concise manner.
  • Independence and responsibility for delivering a solution
  • Ability to work under Agile and Scrum development methodologies
  • Staying updated with emerging technologies, tools, and techniques in the field of big data engineering. Exploring and recommending new technologies to enhance data processing, storage, and analysis capabilities.
  • Train and mentor junior data engineers, providing guidance and knowledge transfer.

Employment Type: Full Time, Permanent

Read full job description

Prepare for Lead Consultant roles with real interview advice

What people at Lingaro are saying

4.5
 Rating based on 2 Lead Consultant reviews

Likes

Good Worklife culture in the company

  • Skill development - Excellent
  • +4 more
Dislikes

Nothing to say wrong about the company

Read 2 Lead Consultant reviews

Lead Consultant salary at Lingaro

reported by 11 employees with 2-15 years exp.
₹24.5 L/yr - ₹43 L/yr
37% more than the average Lead Consultant Salary in India
View more details

What Lingaro employees are saying about work life

based on 15 employees
91%
100%
100%
Flexible timing
Monday to Friday
No travel
View more insights

Lingaro Benefits

Free Transport
Child care
Gymnasium
Cafeteria
Work From Home
Free Food +6 more
View more benefits

Compare Lingaro with

TCS

3.7
Compare

Infosys

3.6
Compare

Wipro

3.7
Compare

HCLTech

3.5
Compare

Tech Mahindra

3.5
Compare

LTIMindtree

3.8
Compare

Mphasis

3.4
Compare

Hexaware Technologies

3.6
Compare

Persistent Systems

3.5
Compare

HCL Infosystems

3.9
Compare

Accel Frontline

3.9
Compare

Puropale Creations & IT Solutions

4.6
Compare

Northcorp Software

4.3
Compare

Diverse Lynx

3.8
Compare

Elentec Power India (EPI) Pvt. Ltd.

3.7
Compare

HyScaler

4.5
Compare

Appsierra

4.3
Compare

Solartis Technology Services

3.7
Compare

Emblix Solutions

4.8
Compare

Yashi Consulting Services

3.9
Compare

Similar Jobs for you

Data Engineer at Capgemini Technology Services India Limited

Gurgaon / Gurugram

4-9 Yrs

₹ 6-11 LPA

C Engineer at Grant Thornton India Pvt Ltd

Kolkata, Bangalore / Bengaluru

3-6 Yrs

₹ 5-9 LPA

Data Engineer at Encora

Kolkata, Mumbai + 5

3-5 Yrs

₹ 8-9 LPA

Lead Consultant at Singtel

Kolkata, Mumbai + 5

4-8 Yrs

₹ 6-10 LPA

Data Engineer 1 at DUN & BRADSTREET INFORMATION SERVICES INDIA PRIVATE LIMITED

Hyderabad / Secunderabad

4-6 Yrs

₹ 6-11 LPA

Azure Data Engineer at Bridgenext

Pune

3-6 Yrs

₹ 5-8 LPA

Data Engineer at HTC Global Services (India) Pvt. Ltd.

Bangalore / Bengaluru

2-7 Yrs

₹ 4-9 LPA

Cloud Consultant at Oracle India Pvt. Ltd.

Kolkata, Mumbai + 5

4-10 Yrs

₹ 6-12 LPA

Principal Data Engineer at Maxim India Integrated Circuit Design Pvt Ltd.

Hyderabad / Secunderabad, Bangalore / Bengaluru

4-7 Yrs

₹ 6-9 LPA

Principal Data Engineer at Maxim India Integrated Circuit Design Pvt Ltd.

Bangalore / Bengaluru

4-7 Yrs

₹ 6-9 LPA

Data Engineer (MS Fabric)- Lead Consultant

2-4 Yrs

Kolkata, Mumbai, New Delhi +4 more

5d ago·via naukri.com

Data Engineer- Consultant

3-7 Yrs

Kolkata, Mumbai, New Delhi +4 more

5d ago·via naukri.com

Talent Engagement Specialist

3-5 Yrs

Kolkata, Mumbai, New Delhi +4 more

5d ago·via naukri.com

CRM Consultant

2-5 Yrs

Kolkata, Mumbai, New Delhi +4 more

20d ago·via naukri.com

Lead Data Scientist - Python, Azure/GCP

5-7 Yrs

Kolkata, Mumbai, New Delhi +4 more

23d ago·via naukri.com

Bid Manager

7-8 Yrs

Kolkata, Mumbai, New Delhi +4 more

23d ago·via naukri.com

Power Apps Expert

4-8 Yrs

Kolkata, Mumbai, New Delhi +4 more

23d ago·via naukri.com

Python Backend Developer

1-4 Yrs

Kolkata, Mumbai, New Delhi +4 more

1mon ago·via naukri.com

SAP BW Developer

10-14 Yrs

Kolkata, Mumbai, New Delhi +4 more

1mon ago·via naukri.com

Data Science- Senior Associate

1-4 Yrs

Kolkata, Mumbai, New Delhi +4 more

1mon ago·via naukri.com
write
Share an Interview